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Leskovec, Jure

  1. On the Opportunities and Risks of Foundation Models
    2021/08/16 by Rishi Bommasani, Drew A. Hudson, Bommasani, Rishi +233 · 11 voices · 531 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Topic Modeling
  2. Inductive Representation Learning on Large Graphs
    2017/06/07 by William L. Hamilton, Hamilton, William L., Rex Ying +3 · 637 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  3. How Powerful are Graph Neural Networks?
    2018/10/01 by Keyulu Xu, Weihua Hu, Xu, Keyulu +5 · 353 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. node2vec: Scalable Feature Learning for Networks
    2016/07/03 by Aditya Grover, Grover, Aditya, Jure Leskovec +1 · 134 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Domain Adaptation and Few-Shot Learning
  5. Open Graph Benchmark: Datasets for Machine Learning on Graphs
    2020/05/02 by Weihua Hu, Matthias Fey, Hu, Weihua +11 · 182 citations
    Computer Science · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Machine Learning in Healthcare
  6. Antisocial Behavior in Online Discussion Communities
    2015/04/02 by Justin Cheng, Cheng, Justin, Cristian Danescu-Niculescu-Mizil +3 · 2 voices · 3 citations
    Computer Science · Social Sciences · #Hate Speech and Cyberbullying Detection #Social Media and Politics #Spam and Phishing Detection
  7. Strategies for Pre-training Graph Neural Networks
    2019/05/29 by Weihua Hu, Bowen Liu, Hu, Weihua +11 · 92 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Topic Modeling #Machine Learning in Materials Science
  8. WILDS: A Benchmark of in-the-Wild Distribution Shifts
    2020/12/14 by Pang Wei Koh, Shiori Sagawa, Koh, Pang Wei +43 · 92 citations
    Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  9. Learning to Simulate Complex Physics with Graph Networks
    2020/02/21 by Álvaro Sánchez‐González, Jonathan Godwin, Sanchez-Gonzalez, Alvaro +9 · 81 citations
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  10. GNNExplainer: Generating Explanations for Graph Neural Networks
    2019/03/10 by Rex Ying, Dylan Bourgeois, Ying, Rex +7 · 60 citations
    Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. Hierarchical Graph Representation Learning with Differentiable Pooling
    2018/06/22 by Ying, Rex, You, Jiaxuan, Morris, Christopher +3 · 43 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Social and Information Networks (cs.SI)
  12. GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
    2018/02/24 by Jiaxuan You, You, Jiaxuan, Rex Ying +7 · 49 citations
    Computer Science · #Graph Theory and Algorithms #Advanced Graph Neural Networks #Machine Learning and Data Classification
  13. Med-Flamingo: a Multimodal Medical Few-shot Learner
    2023/07/27 by Michael Moor, Moor, Michael, Qian Huang +15 · 68 citations
    Computer Science · Health Professions · #Multimodal Machine Learning Applications #Digital Storytelling and Education
  14. Kronecker Graphs: An Approach to Modeling Networks
    2008/12/29 by Jure Leskovec, Deepayan Chakrabarti, Leskovec, Jure +7 · 28 citations
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Graph Theory and Algorithms #Data Visualization and Analytics
  15. QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
    2021/04/13 by Yasunaga, Michihiro, Ren, Hongyu, Bosselut, Antoine +2 · 35 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. Selection via Proxy: Efficient Data Selection for Deep Learning
    2019/06/26 by Cody Coleman, Coleman, Cody, Christopher Yeh +13 · 30 citations
    Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  17. Hyperbolic Graph Convolutional Neural Networks
    2019/10/28 by Ines Chami, Chami, Ines, Rex Ying +5 · 30 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Representation Learning on Graphs: Methods and Applications
    2017/09/17 by Hamilton, William L., Ying, Rex, Leskovec, Jure · 25 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  19. MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
    2023/10/05 by Qian Huang, Huang, Qian, Jian Vora +5 · 49 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  20. Defining and Evaluating Network Communities based on Ground-truth
    2012/05/28 by Jaewon Yang, Jure Leskovec, Yang, Jaewon +1 · 21 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Peer-to-Peer Network Technologies #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  21. Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
    2021/02/18 by Kexin Huang, Tianfan Fu, Huang, Kexin +17 · 31 citations
    Computer Science · Engineering · Materials Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #Computers and Society (cs.CY) #FOS: Biological sciences #FOS: Computer and information sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM)
  22. Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters
    2008/10/08 by Leskovec, Jure, Lang, Kevin J., Dasgupta, Anirban +1 · 17 citations
    #Data Analysis #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Statistics and Probability (physics.data-an)
  23. SNAP: A General Purpose Network Analysis and Graph Mining Library
    2016/06/24 by Jure Leskovec, Leskovec, Jure, Rok Sosič +1 · 21 citations
    Physics and Astronomy · Computer Science · Biochemistry, Genetics and Molecular Biology · #Complex Network Analysis Techniques #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks
  24. Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
    2016/05/30 by William L. Hamilton, Hamilton, William L., Jure Leskovec +3 · 1 voice · 22 citations
    Computer Science · Social Sciences · #Evolutionary Game Theory and Cooperation #Language and cultural evolution #cs.CL
  25. Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
    2018/06/06 by Jiaxuan You, You, Jiaxuan, Bowen Liu +7 · 27 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Protein Structure and Dynamics
  26. From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews
    2013/03/18 by Julian McAuley, Jure Leskovec, McAuley, Julian +1 · 18 citations
    Social Sciences · Computer Science · #Digital Marketing and Social Media #Recommender Systems and Techniques #Advanced Text Analysis Techniques
  27. Large Language Models as Analogical Reasoners
    2023/10/03 by Michihiro Yasunaga, Yasunaga, Michihiro, Xinyun Chen +14 · 2 voices · 26 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  28. PinnerFormer: Sequence Modeling for User Representation at Pinterest
    2022/05/09 by Nikil Pancha, Andrew Zhai, Pancha, Nikil +5 · 1 voice · 19 citations
    Computer Science · Social Sciences · Decision Sciences · #cs.LG
  29. A Computational Approach to Politeness with Application to Social\n Factors
    2013/06/25 by Cristian Danescu-Niculescu-Mizil, Danescu-Niculescu-Mizil, Cristian, Moritz Sudhof +7 · 13 citations
    Arts and Humanities · Computer Science · #Computation and Language (cs.CL) #Discourse Analysis in Language Studies #FOS: Computer and information sciences #FOS: Physical sciences #Hate Speech and Cyberbullying Detection #I.2.7 #Language, Discourse, Communication Strategies #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  30. Geometric Latent Diffusion Models for 3D Molecule Generation
    2023/05/02 by Xu, Minkai, Powers, Alexander, Dror, Ron +2 · 26 citations
    #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
  31. Handling Missing Data with Graph Representation Learning
    2020/10/30 by Jiaxuan You, Xiaobai Ma, You, Jiaxuan +7 · 17 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Social and Information Networks (cs.SI) #Topic Modeling
  32. OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
    2021/03/17 by Weihua Hu, Hu, Weihua, Matthias Fey +9 · 17 citations
    Computer Science · Materials Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  33. Automated Hypothesis Validation with Agentic Sequential Falsifications
    2025/02/14 by Kexin Huang, Ying Jin, Huang, Kexin +11 · 3 voices · 10 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Fault Detection and Control Systems #cs.AI #cs.CL #cs.LG #q-bio.QM
  34. Learning Attitudes and Attributes from Multi-Aspect Reviews
    2012/10/15 by Julian McAuley, Jure Leskovec, McAuley, Julian +3 · 11 citations
    Computer Science · #Sentiment Analysis and Opinion Mining #Topic Modeling #Advanced Text Analysis Techniques
  35. Graph Information Bottleneck
    2020/10/24 by Wu, Tailin, Ren, Hongyu, Li, Pan +1 · 15 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  36. Inferring Networks of Substitutable and Complementary Products
    2015/06/29 by Julian McAuley, McAuley, Julian, Rahul Pandey +3 · 11 citations
    Computer Science · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Sentiment Analysis and Opinion Mining #Social and Information Networks (cs.SI) #Topic Modeling
  37. LinkBERT: Pretraining Language Models with Document Links
    2022/03/29 by Michihiro Yasunaga, Yasunaga, Michihiro, Jure Leskovec +3 · 16 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  38. Open-World Semi-Supervised Learning
    2021/02/06 by Kaidi Cao, Maria Brbić, Cao, Kaidi +3 · 15 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Advanced Neural Network Applications
  39. Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
    2023/07/17 by Xuan Zhang, Zhang, Xuan, Limei Wang +123 · 1 voice · 17 citations
    #cs.LG #physics.comp-ph
  40. Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
    2021/01/15 by Wang, Yanbang, Chang, Yen-Yu, Liu, Yunyu +2 · 12 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  41. Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
    2020/02/14 by Ren, Hongyu, Hu, Weihua, Leskovec, Jure · 11 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  42. ROLAND: Graph Learning Framework for Dynamic Graphs
    2022/08/15 by Jiaxuan You, Tianyu Du, You, Jiaxuan +3 · 15 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Data Quality and Management #Graph Theory and Algorithms
  43. Design Space for Graph Neural Networks
    2020/11/17 by You, Jiaxuan, Ying, Rex, Leskovec, Jure · 11 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  44. Temporal Graph Benchmark for Machine Learning on Temporal Graphs
    2023/07/03 by Shenyang Huang, Huang, Shenyang, Farimah Poursafaei +17 · 17 citations
    Computer Science · Decision Sciences · Social Sciences · #Advanced Graph Neural Networks #Data Quality and Management #Human Mobility and Location-Based Analysis
  45. Deep Bidirectional Language-Knowledge Graph Pretraining
    2022/10/17 by Yasunaga, Michihiro, Bosselut, Antoine, Ren, Hongyu +4 · 13 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  46. Holistic Evaluation of Text-To-Image Models
    2023/11/07 by Lee, Tony, Yasunaga, Michihiro, Meng, Chenlin +15 · 16 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  47. BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
    2024/05/27 by Yusuf Roohani, Roohani, Yusuf, Lee, Andrew +13 · 20 citations
    Computer Science · #Evolutionary Algorithms and Applications
  48. Retrieval-Augmented Multimodal Language Modeling
    2022/11/22 by Michihiro Yasunaga, Yasunaga, Michihiro, Armen Aghajanyan +14 · 12 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Topic Modeling
  49. Identity-aware Graph Neural Networks
    2021/01/25 by Jiaxuan You, You, Jiaxuan, Jonathan M. Gomes-Selman +5 · 10 citations
    Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Functional Brain Connectivity Studies #Complex Network Analysis Techniques
  50. AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
    2024/06/17 by Shirley Wu, Shiyu Zhao, Wu, Shirley +17 · 19 citations
    Computer Science · #Semantic Web and Ontologies #Data Mining Algorithms and Applications
  51. Embedding Logical Queries on Knowledge Graphs
    2018/06/05 by William L. Hamilton, Payal Bajaj, Hamilton, William L. +7 · 8 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  52. PRODIGY: Enabling In-context Learning Over Graphs
    2023/05/21 by Qian Huang, Huang, Qian, Hong‐Yu Ren +11 · 13 citations
    Computer Science · #Topic Modeling #Advanced Graph Neural Networks #Multimodal Machine Learning Applications
  53. Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
    2017/11/21 by Eksombatchai, Chantat, Jindal, Pranav, Liu, Jerry Zitao +5 · 7 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Performance (cs.PF) #Social and Information Networks (cs.SI)
  54. When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
    2023/04/25 by Luan, Sitao, Hua, Chenqing, Xu, Minkai +6 · 12 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  55. STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
    2024/04/19 by Shirley Wu, Shiyu Zhao, Wu, Shirley +17 · 14 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Library Science and Information Systems #Machine Learning (cs.LG) #Natural Language Processing Techniques
  56. Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
    2020/10/22 by Hongyu Ren, Ren, Hongyu, Jure Leskovec +1 · 7 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  57. GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
    2022/01/21 by Zhang, Xikun, Bosselut, Antoine, Yasunaga, Michihiro +4 · 8 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  58. Position-aware Graph Neural Networks
    2019/06/11 by You, Jiaxuan, Ying, Rex, Leskovec, Jure · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  59. CollabLLM: From Passive Responders to Active Collaborators
    2025/02/02 by Shirley Wu, Wu, Shirley, Michel Galley +17 · 22 citations
    Computer Science · #Semantic Web and Ontologies
  60. Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
    2023/05/23 by Huang, Kexin, Jin, Ying, Candès, Emmanuel +1 · 9 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  61. Unifying Graph Convolutional Neural Networks and Label Propagation
    2020/02/17 by Hongwei Wang, Wang, Hongwei, Jure Leskovec +1 · 11 citations
    Computer Science · #Advanced Graph Neural Networks #Text and Document Classification Technologies #Rough Sets and Fuzzy Logic
  62. How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities
    2024/09/18 by Bunne, Charlotte, Roohani, Yusuf, Rosen, Yanay +39 · 16 citations
    #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)
  63. Neural Subgraph Matching
    2020/07/06 by Rex, Ying, Jiaxuan You +8 · 6 citations
    Computer Science · #Graph Theory and Algorithms #Advanced Graph Neural Networks #Complexity and Algorithms in Graphs
  64. Multi-hop Attention Graph Neural Network
    2020/09/29 by Wang, Guangtao, Ying, Rex, Huang, Jing +1 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  65. Information Diffusion and External Influence in Networks
    2012/06/06 by Seth A. Myers, Myers, Seth A., Chenguang Zhu +3 · 4 citations
    Physics and Astronomy · Decision Sciences · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Innovation Diffusion and Forecasting
  66. Discovering Social Circles in Ego Networks
    2012/10/30 by Julian McAuley, McAuley, Julian, Jure Leskovec +1 · 4 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  67. Inferring Networks of Diffusion and Influence
    2010/06/01 by Manuel Gomez-Rodriguez, Jure Leskovec, Gomez-Rodriguez, Manuel +3 · 4 citations
    Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Physical sciences #H.2.8 #Machine Learning (stat.ML) #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social Media and Politics #Social and Information Networks (cs.SI)
  68. Equivariant Graph Neural Operator for Modeling 3D Dynamics
    2024/01/19 by Xu, Minkai, Han, Jiaqi, Lou, Aaron +6 · 10 citations
    #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Quantitative Methods (q-bio.QM)
  69. From Similarity to Superiority: Channel Clustering for Time Series Forecasting
    2024/03/31 by Jialin Chen, Jan Eric Lenssen, Chen, Jialin +13 · 11 citations
    Computer Science · #Time Series Analysis and Forecasting
  70. RelBench: A Benchmark for Deep Learning on Relational Databases
    2024/07/29 by Joshua Robinson, Robinson, Joshua, Rishabh Ranjan +21 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Mining Algorithms and Applications #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  71. Extending the WILDS Benchmark for Unsupervised Adaptation
    2021/12/09 by Sagawa, Shiori, Koh, Pang Wei, Lee, Tony +17 · 6 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  72. ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations
    2021/03/02 by Weihua Hu, Hu, Weihua, Muhammed Shuaibi +13 · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
  73. Graph Structure of Neural Networks
    2020/07/13 by You, Jiaxuan, Leskovec, Jure, He, Kaiming +1 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  74. Network Inference via the Time-Varying Graphical Lasso
    2017/03/06 by Hallac, David, Park, Youngsuk, Boyd, Stephen +1 · 4 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Social and Information Networks (cs.SI)
  75. VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering
    2022/05/23 by Yanan Wang, Michihiro Yasunaga, Wang, Yanan +7 · 6 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Human Pose and Action Recognition
  76. Relational Deep Learning: Graph Representation Learning on Relational Databases
    2023/12/07 by Fey, Matthias, Hu, Weihua, Huang, Kexin +6 · 8 citations
    #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  77. VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
    2023/08/04 by Yang, Ling, Tian, Ye, Xu, Minkai +7 · 7 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  78. GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
    2023/12/07 by Shirley Wu, Kaidi Cao, Wu, Shirley +7 · 7 citations
    Computer Science · Environmental Science · #Advanced Graph Neural Networks #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Health, Environment, Cognitive Aging #Machine Learning (cs.LG)
  79. Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data
    2017/06/10 by Hallac, David, Vare, Sagar, Boyd, Stephen +1 · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Social and Information Networks (cs.SI)
  80. Combiner: Full Attention Transformer with Sparse Computation Cost
    2021/07/12 by Hongyu Ren, Ren, Hongyu, Hanjun Dai +11 · 4 citations
    Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Advanced Graph Neural Networks
  81. Relational Message Passing for Knowledge Graph Completion
    2020/02/17 by Hongwei Wang, Hongyu Ren, Wang, Hongwei +3 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  82. M2P2: Multimodal Persuasion Prediction using Adaptive Fusion
    2020/06/03 by Chongyang Bai, Bai, Chongyang, Haipeng Chen +7 · 3 citations
    Social Sciences · Computer Science · #Misinformation and Its Impacts #Sentiment Analysis and Opinion Mining #Computational and Text Analysis Methods
  83. F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
    2020/11/09 by Chang, Yen-Yu, Li, Pan, Sosic, Rok +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  84. Image Labeling on a Network: Using Social-Network Metadata for Image Classification
    2012/07/16 by McAuley, Julian, Leskovec, Jure · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  85. LLMs generate structurally realistic social networks but overestimate political homophily
    2024/08/29 by Serina Chang, Alicja Chaszczewicz, Chang, Serina +9 · 7 citations
    Business, Management and Accounting · Social Sciences · #FinTech, Crowdfunding, Digital Finance #Political Influence and Corporate Strategies #Social Capital and Networks
  86. Learning Controllable Adaptive Simulation for Multi-resolution Physics
    2023/05/01 by Tailin Wu, Wu, Tailin, Takashi Maruyama +7 · 4 citations
    Computer Science · Decision Sciences · #Advanced Data Storage Technologies #Computational Engineering #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Scientific Computing and Data Management #and Science (cs.CE)
  87. Structure and Dynamics of Information Pathways in Online Media
    2012/12/06 by Manuel Gomez-Rodriguez, Rodriguez, Manuel Gomez, Jure Leskovec +3 · 2 citations
    Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Misinformation and Its Impacts
  88. Loyalty in Online Communities
    2017/03/09 by William L. Hamilton, Hamilton, William L., Justine Zhang +7 · 2 citations
    Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Computation and Language (cs.CL) #Digital Marketing and Social Media #FOS: Computer and information sciences #Opinion Dynamics and Social Influence #Social and Information Networks (cs.SI)
  89. Few-shot Relational Reasoning via Connection Subgraph Pretraining
    2022/10/13 by Qian Huang, Huang, Qian, Hong‐Yu Ren +3 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  90. Context-Aware Meta-Learning
    2023/10/17 by Christopher Fifty, Fifty, Christopher, Duan, Dennis +10 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  91. Compositional Generative Inverse Design
    2024/01/24 by Wu, Tailin, Maruyama, Takashi, Wei, Long +4 · 4 citations
    #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE)
  92. Learning Graph Search Heuristics
    2022/12/07 by Pándy, Michal, Qiu, Weikang, Corso, Gabriele +4 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  93. How Community Feedback Shapes User Behavior
    2014/05/06 by Justin Cheng, Cheng, Justin, Cristian Danescu-Niculescu-Mizil +3 · 3 citations
    Physics and Astronomy · Computer Science · Social Sciences · #Opinion Dynamics and Social Influence #Spam and Phishing Detection #Social Media and Politics
  94. Learning Efficient Positional Encodings with Graph Neural Networks
    2025/02/03 by Charilaos I. Kanatsoulis, Kanatsoulis, Charilaos I., Choi, Evelyn +5 · 8 citations
    Computer Science · Social Sciences · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Geographic Information Systems Studies #Machine Learning (cs.LG) #Text and Document Classification Technologies
  95. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
    2019/05/11 by Hongwei Wang, Wang, Hongwei, Fuzheng Zhang +11 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Topic Modeling
  96. G2SAT: Learning to Generate SAT Formulas
    2019/10/29 by You, Jiaxuan, Wu, Haoze, Barrett, Clark +2 · 2 citations
    #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  97. PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
    2024/03/31 by Weihua Hu, Hu, Weihua, Yiwen Yuan +14 · 4 citations
    Computer Science · Psychology · #Artificial Intelligence in Games #Databases (cs.DB) #FOS: Computer and information sciences #Innovative Teaching and Learning Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech and dialogue systems
  98. PyG 2.0: Scalable Learning on Real World Graphs
    2025/07/22 by Matthias Fey, Fey, Matthias, Sunil, Jinu +21 · 15 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  99. Neural Distance Embeddings for Biological Sequences
    2021/09/20 by Corso, Gabriele, Ying, Rex, Pándy, Michal +3 · 2 citations
    #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
  100. LM-Critic: Language Models for Unsupervised Grammatical Error Correction
    2021/09/14 by Yasunaga, Michihiro, Leskovec, Jure, Liang, Percy · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  101. Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
    2021/10/28 by Yushi Bai, Bai, Yushi, Rex Ying +5 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #I.2.4 #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Topic Modeling
  102. Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
    2024/07/01 by Siyi Gu, Gu, Siyi, Minkai Xu +15 · 4 citations
    Computer Science · Materials Science · Medicine · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM) #Radiopharmaceutical Chemistry and Applications
  103. Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
    2024/02/13 by Tailin Wu, Wu, Tailin, Willie Neiswanger +7 · 3 citations
    Decision Sciences · #Probabilistic and Robust Engineering Design
  104. Learning to Accelerate Partial Differential Equations via Latent Global Evolution
    2022/06/15 by Wu, Tailin, Maruyama, Takashi, Leskovec, Jure · 2 citations
    #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
  105. On the Convexity of Latent Social Network Inference
    2010/10/26 by Myers, Seth A., Leskovec, Jure · 1 citation
    #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  106. CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
    2022/10/31 by Mathieu Chevalley, Chevalley, Mathieu, Yusuf Roohani +7 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Single-cell and spatial transcriptomics #Statistical Methods and Inference
  107. ContextGNN: Beyond Two-Tower Recommendation Systems
    2024/11/29 by Yiwen Yuan, Yuan, Yiwen, Zecheng Zhang +23 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Recommender Systems and Techniques
  108. Structure and Overlaps of Communities in Networks
    2012/05/28 by Yang, Jaewon, Leskovec, Jure · 1 citation
    #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  109. Exploiting Social Network Structure for Person-to-Person Sentiment\n Analysis
    2014/09/08 by Robert West, West, Robert, Hristo S. Paskov +5 · 1 citation
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Physical sciences #Misinformation and Its Impacts #Physics and Society (physics.soc-ph) #Sentiment Analysis and Opinion Mining #Social and Information Networks (cs.SI) #Topic Modeling
  110. QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns
    2015/04/06 by Niculae, Vlad, Suen, Caroline, Zhang, Justine +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  111. SnapVX: A Network-Based Convex Optimization Solver
    2015/09/21 by David Hallac, Christopher Wong, Hallac, David +11 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Mathematical Software (cs.MS) #Optimization and Control (math.OC) #Social and Information Networks (cs.SI) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #VLSI and FPGA Design Techniques
  112. Growing Wikipedia Across Languages via Recommendation
    2016/04/12 by Ellery Wulczyn, Wulczyn, Ellery, Robert West +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Social Sciences · #Cancer-related gene regulation #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Open Source Software Innovations #Social and Information Networks (cs.SI) #Wikis in Education and Collaboration
  113. Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
    2016/06/09 by Hamilton, William L., Leskovec, Jure, Jurafsky, Dan · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  114. Inferring Person-to-person Proximity Using WiFi Signals
    2016/10/15 by Piotr Sapieżyński, Sapiezynski, Piotr, Arkadiusz Stopczynski +7 · 1 citation
    Computer Science · Engineering · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Indoor and Outdoor Localization Technologies #Mobile Crowdsensing and Crowdsourcing
  115. RelGNN: Composite Message Passing for Relational Deep Learning
    2025/02/10 by Chen, Tianlang, Kanatsoulis, Charilaos, Leskovec, Jure · 5 citations
    #Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  116. Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior
    2016/12/09 by Althoff, Tim, Jindal, Pranav, Leskovec, Jure · 1 citation
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Social and Information Networks (cs.SI)
  117. How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application
    2017/02/24 by Shameli, Ali, Althoff, Tim, Saberi, Amin +1 · 1 citation
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Multimedia (cs.MM) #Social and Information Networks (cs.SI)
  118. Driver Identification Using Automobile Sensor Data from a Single Turn
    2017/06/09 by Hallac, David, Sharang, Abhijit, Stahlmann, Rainer +5 · 1 citation
    #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  119. Community Identity and User Engagement in a Multi-Community Landscape
    2017/05/26 by Justine Zhang, William L. Hamilton, Zhang, Justine +7 · 1 citation
    Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Physical sciences #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social Media and Politics #Social and Information Networks (cs.SI)
  120. Interpretable & Explorable Approximations of Black Box Models
    2017/07/04 by Lakkaraju, Himabindu, Kamar, Ece, Caruana, Rich +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  121. Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand\n Systems
    2017/09/20 by Ramón Iglesias, Iglesias, Ramon, Federico Rossi +9 · 1 citation
    Engineering · Social Sciences · #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Electrical engineering #Multiagent Systems (cs.MA) #Robotics (cs.RO) #Systems and Control (eess.SY) #Traffic control and management #Transportation Planning and Optimization #Transportation and Mobility Innovations #electronic engineering #information engineering
  122. Relational Multi-Task Learning: Modeling Relations between Data and Tasks
    2023/03/14 by Kaidi Cao, Jiaxuan You, Cao, Kaidi +3 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Bioinformatics #Machine Learning and Data Classification #Topic Modeling
  123. Complete the Look: Scene-based Complementary Product Recommendation
    2018/12/04 by Wang-Cheng Kang, Kang, Wang-Cheng, Eric Kim +7 · 1 citation
    Computer Science · Neuroscience · #Aesthetic Perception and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Information Retrieval (cs.IR) #Multimedia (cs.MM) #Visual Attention and Saliency Detection
  124. Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
    2016/06/09 by William L. Hamilton, Hamilton, William L., Kevin B. Clark +5 · 2 citations
    Computer Science · #Sentiment Analysis and Opinion Mining #Topic Modeling #Natural Language Processing Techniques
  125. Improving Graph Attention Networks with Large Margin-based Constraints
    2019/10/25 by Wang, Guangtao, Ying, Rex, Huang, Jing +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  126. Cascading Behavior in Large Blog Graphs
    2007/04/20 by Jure Leskovec, Mary McGlohon, Leskovec, Jure +7 · 1 citation
    Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Misinformation and Its Impacts
  127. Driver2vec: Driver Identification from Automotive Data
    2021/02/10 by Jingbo Yang, Ruge Zhao, Yang, Jingbo +9 · 1 citation
    Computer Science · Engineering · #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Vehicular Ad Hoc Networks (VANETs) #Video Surveillance and Tracking Methods
  128. Large Language Models are Good Relational Learners
    2025/06/06 by Wu, Fang, Dwivedi, Vijay Prakash, Leskovec, Jure · 6 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  129. Concept Learners for Few-Shot Learning
    2020/07/14 by Kaidi Cao, Cao, Kaidi, Maria Brbić +3 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
  130. Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs
    2024/05/29 by Xu, Jialiang, Moor, Michael, Leskovec, Jure · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  131. Model-Agnostic Graph Regularization for Few-Shot Learning
    2021/02/14 by Shen, Ethan, Brbic, Maria, Monath, Nicholas +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  132. GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
    2021/06/10 by Matthias Fey, Jan Eric Lenssen, Fey, Matthias +5 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Advanced Neural Network Applications #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  133. MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
    2022/05/21 by Gurukar, Saket, Pancha, Nikil, Zhai, Andrew +5 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  134. Deception Detection in Group Video Conversations using Dynamic Interaction Networks
    2021/06/11 by Kumar, Srijan, Bai, Chongyang, Subrahmanian, V. S. +1 · 1 citation
    #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  135. Uncalibrated Reasoning: GRPO Induces Overconfidence for Stochastic Outcomes
    2025/08/15 by Michael Bereket, Bereket, Michael, Jure Leskovec +1 · 8 citations
    Decision Sciences · Computer Science · #Complex Systems and Decision Making #Cognitive Science and Mapping
  136. SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
    2021/10/28 by Ren, Hongyu, Dai, Hanjun, Dai, Bo +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Databases (cs.DB) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  137. Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction
    2023/02/04 by Fifty, Christopher, Paggi, Joseph M., Amid, Ehsan +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  138. Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
    2023/03/26 by Hong‐Yu Ren, Ren, Hongyu, Mikhail Galkin +7 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Databases (cs.DB) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  139. Human mobility networks reveal increased segregation in large cities
    2022/10/13 by Hamed Nilforoshan, Nilforoshan, Hamed, Wenli Looi +17 · 1 citation
    Social Sciences · #Urban Transport and Accessibility #Human Mobility and Location-Based Analysis #Urban, Neighborhood, and Segregation Studies
  140. MIRIAD: Augmenting LLMs with millions of medical query-response pairs
    2025/06/06 by Zheng, Qinyue, Abdullah, Salman, Rawal, Sam +7 · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7
  141. Relational Graph Transformer
    2025/05/16 by Vijay Prakash Dwivedi, Sri Jaladi, Dwivedi, Vijay Prakash +13 · 3 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Data Quality and Management #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
  142. In-Context Learning for Few-Shot Molecular Property Prediction
    2023/10/13 by Christopher Fifty, Jure Leskovec, Fifty, Christopher +3 · 1 citation
    Computer Science · Engineering · Materials Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #Fuel Cells and Related Materials #Machine Learning (cs.LG) #Machine Learning in Materials Science
  143. Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards
    2025/07/03 by Wu, Shirley, Sarthi, Parth, Zhao, Shiyu +10 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)