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Wei Jin

  1. Graph Structure Learning for Robust Graph Neural Networks
    2020/05/20 by Wei Jin, Yao Ma, Jin, Wei +9 · 46 citations
    Computer Science · Mathematics · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #cs.CR #cs.LG #cs.SI #stat.ML
  2. Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
    2023/07/07 by Zhikai Chen, Haitao Mao, Chen, Zhikai +19 · 46 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  3. Graph Condensation for Graph Neural Networks
    2021/10/14 by Wei Jin, Jin, Wei, Lingxiao Zhao +9 · 19 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Graph Theory and Algorithms
  4. A Review of Graph Neural Networks in Epidemic Modeling
    2024/03/28 by Zewen Liu, Guancheng Wan, Liu, Zewen +7 · 1 voice · 11 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Health Professions · Physics and Astronomy · #Artificial Intelligence in Healthcare #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Physics and Society (physics.soc-ph) #Populations and Evolution (q-bio.PE) #Social and Information Networks (cs.SI) #cs.LG #cs.SI #physics.soc-ph #q-bio.PE
  5. From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
    2021/10/07 by Lingxiao Zhao, Zhao, Lingxiao, Wei Jin +5 · 14 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  6. Self-supervised Learning on Graphs: Deep Insights and New Direction
    2020/06/17 by Wei Jin, Jin, Wei, Tyler Derr +11 · 18 citations
    Computer Science · Mathematics · #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 #cs.LG #stat.ML
  7. A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
    2024/01/29 by Mohammad R. Hashemi, Hashemi, Mohammad, Shengbo Gong +9 · 22 citations
    Social Sciences · Computer Science · #Advanced Computing and Algorithms #Advanced Graph Neural Networks #Graph Theory and Algorithms
  8. Node Similarity Preserving Graph Convolutional Networks
    2020/11/19 by Wei Jin, Tyler Derr, Jin, Wei +9 · 11 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #cs.AI #cs.LG
  9. Label-free Node Classification on Graphs with Large Language Models (LLMS)
    2023/10/07 by Zhikai Chen, Chen, Zhikai, Haitao Mao +13 · 14 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  10. Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
    2024/06/15 by Zhikai Chen, Chen, Zhikai, Haitao Mao +19 · 19 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cellular Automata and Applications #DNA and Biological Computing #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
    2020/05/13 by Yaxin Li, Li, Yaxin, Wei Jin +5 · 8 citations
    Computer Science · Mathematics · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Security and Verification in Computing #cs.CR #cs.LG #stat.ML
  12. Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
    2023/07/19 by Wei Jin, Haitao Mao, Jin, Wei +37 · 10 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Digital Marketing and Social Media #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining
  13. Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
    2023/06/02 by Haitao Mao, Zhikai Chen, Mao, Haitao +13 · 9 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  14. Creating an Eco‐Friendly Building Coating with Smart Subambient Radiative Cooling
    2020/09/13 by Xiao Xue, Meng Qiu, Yanwen Li +14 · 7 citations
    Engineering · Environmental Science · #Building Energy and Comfort Optimization #Thermal Radiation and Cooling Technologies #Urban Heat Island Mitigation
  15. Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
    2022/01/01 by Enyan Dai, Dai, Enyan, Wei Jin +5 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Online Learning and Analytics
  16. Finite 2-geodesic transitive graphs of prime valency
    2015/04/17 by Alice Devillers, Devillers, Alice, Wei Jin +5 · 3 citations
    Engineering · Mathematics · #05E18 #20B25 #Combinatorics (math.CO) #FOS: Mathematics #Finite Group Theory Research #Geometric and Algebraic Topology #graph theory and CDMA systems #math.CO #msc:05E18 #msc:20B25
  17. Graph Trend Filtering Networks for Recommendations
    2021/08/12 by Wenqi Fan, Fan, Wenqi, Xiaorui Liu +9 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Artificial intelligence #Attention network #Bipartite graph #Collaborative filtering #Computer science #Exploit #FOS: Computer and information sciences #Feature learning #Graph #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine learning #Recommender Systems and Techniques #Recommender system #Robustness (evolution) #Social and Information Networks (cs.SI) #Theoretical computer science
  18. Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
    2020/03/02 by Wei Jin, Yaxin Li, Jin, Wei +12 · 10 citations
    Computer Science · Mathematics · Social Sciences · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #cs.CR #cs.LG #stat.ML
  19. Cryptic phylogeographic history sheds light on the generation of species diversity in sky‐island mountains
    2019/08/12 by Kai He, Eliécer E. Gutiérrez, Neander M. Heming +10 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Earth and Planetary Sciences · Environmental Science · #Evolution and Paleontology Studies #Genetic diversity and population structure #Species Distribution and Climate Change
  20. PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition
    2021/09/09 by Zhi Qiao, Yu Zhou, Qiao, Zhi +14 · 4 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Handwritten Text Recognition Techniques #Image Processing and 3D Reconstruction #cs.CV
  21. Elastic Graph Neural Networks
    2021/07/05 by Xiaorui Liu, Liu, Xiaorui, Wei Jin +13 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #cs.AI #cs.LG #cs.NE
  22. Automated Self-Supervised Learning for Graphs
    2021/06/10 by Wei Jin, Jin, Wei, Xiaorui Liu +9 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
  23. Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
    2024/07/16 by Kai Guo, Zewen Liu, Guo, Kai +11 · 6 citations
    Computer Science · #Topic Modeling #Advanced Graph Neural Networks #Natural Language Processing Techniques
  24. The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
    2021/05/06 by Haochen Liu, Wei Jin, Liu, Haochen +8 · 3 citations
    Computer Science · #Authorship Attribution and Profiling #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling #cs.CL
  25. Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
    2024/02/13 by Kai Guo, Guo, Kai, Hongzhi Wen +9 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
  26. Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting
    2021/04/21 by Jun Zhou, Zhou, Jun, Wei Jin +9 · 2 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Image and Object Detection Techniques #cs.CV #cs.GR
  27. Taxonomic position of Chinese voles of the tribe Arvicolini and the description of 2 new species from Xizang, China
    2016/11/16 by Shaoying Liu, Wei Jin, Yang Liu +8 · 2 citations
    Environmental Science · Biochemistry, Genetics and Molecular Biology · #Animal Ecology and Behavior Studies #Species Distribution and Climate Change #Yersinia bacterium, plague, ectoparasites research
  28. Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
    2024/02/07 by Yuchen Zhang, Zhang, Yuchen, Tianle Zhang +13 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Semantic Web and Ontologies
  29. Finite 2-distance transitive graphs
    2015/07/03 by Brian P. Corr, Wei Jin, Corr, Brian P. +3 · 1 citation
    Mathematics · #FOS: Mathematics #Group Theory (math.GR) #math.GR
  30. Performance optimization of hollow-core fiber photothermal gas sensors
    2017/11/08 by Yuechuan Lin, Wei Jin, Fan Yang +3 · 1 citation
    Chemistry · Engineering · #Spectroscopy and Laser Applications #Advanced Fiber Optic Sensors #Photonic Crystal and Fiber Optics
  31. Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
    2024/09/28 by Guancheng Wan, Wan, Guancheng, Zewen Liu +7 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Statistical and Computational Modeling
  32. Demonstration of a photonic lantern focal-plane wavefront sensor: measurement of atmospheric wavefront error modes and low wind effect in the non-linear regime
    2023/11/03 by Wei Jin, Wei, Jin, Barnaby Norris +5 · 2 citations
    Engineering · Physics and Astronomy · #78-11 #Adaptive optics and wavefront sensing #FOS: Physical sciences #Instrumentation and Detectors (physics.ins-det) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Optical Coherence Tomography Applications #Optical Wireless Communication Technologies #Optics (physics.optics)
  33. Angiogenesis in pancreatic cancer: current research status and clinical implications
    2018/08/24 by Shuo Li, Hua-Xiang Xu, Chun-Tao Wu +11 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Medicine · #Angiogenesis and VEGF in Cancer #Cancer, Hypoxia, and Metabolism #Pancreatic and Hepatic Oncology Research
  34. Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
    2025/03/29 by Zewen Liu, Liu, Zewen, Xiaoda Wang +8 · 7 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  35. Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching
    2021/03/30 by Jun Zhou, Zhou, Jun, Wei Jin +9 · 1 citation
    Computer Science · Earth and Planetary Sciences · Engineering · #3D Shape Modeling and Analysis #3D Surveying and Cultural Heritage #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #cs.CV #cs.GR
  36. Graph Feature Gating Networks
    2021/05/10 by Wei Jin, Xiaorui Liu, Jin, Wei +10 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Recommender Systems and Techniques #cs.AI #cs.LG
  37. A Pure Transformer Pretraining Framework on Text-attributed Graphs
    2024/06/19 by Yu Song, Haitao Mao, Song, Yu +14 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques
  38. Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition
    2025/03/24 by Yifei Zhang, Chang Liu, Zhang, Yifei +11 · 6 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Multimodal Machine Learning Applications
  39. EpiLearn: A Python Library for Machine Learning in Epidemic Modeling
    2024/06/10 by Zewen Liu, Liu, Zewen, Yunxiao Li +9 · 2 citations
    Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
  40. Test-Time Training for Graph Neural Networks
    2022/10/17 by Yiqi Wang, Wang, Yiqi, Chaozhuo Li +11 · 1 citation
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning in Materials Science
  41. Arc-transitive bicirculants
    2019/04/13 by Alice Devillers, Michael Giudici, Devillers, Alice +3 · 1 citation
    Computer Science · Engineering · Mathematics · #05E18 #20B25 #Coding theory and cryptography #Combinatorics (math.CO) #FOS: Mathematics #Finite Group Theory Research #graph theory and CDMA systems #math.CO #msc:05E18 #msc:20B25
  42. GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
    2024/06/24 by Shengbo Gong, Juntong Ni, Gong, Shengbo +7 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques #Semantic Web and Ontologies
  43. TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
    2025/06/06 by Zhiyuan Zhao, Juntong Ni, Zhao, Zhiyuan +9 · 3 citations
    Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning in Healthcare #Traffic Prediction and Management Techniques
  44. Scalable Graph Condensation with Evolving Capabilities
    2025/02/24 by Shengbo Gong, Mohammad R. Hashemi, Gong, Shengbo +7 · 4 citations
    Computer Science · #Model-Driven Software Engineering Techniques
  45. Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling
    2025/03/25 by Songyuan Liu, Liu, Songyuan, Shengbo Gong +9 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning in Healthcare #Social and Information Networks (cs.SI)
  46. Sparse whole-genome sequencing identifies two loci for major depressive disorder
    2015/07/14 by Na Cai, Tim B. Bigdeli, Warren Kretzschmar +108 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Medicine · #Endoplasmic Reticulum Stress and Disease #Plant Gene Expression Analysis #Sirtuins and Resveratrol in Medicine
  47. SeizureFormer: A Transformer Model for IEA-Based Seizure Risk Forecasting
    2025/04/13 by Tian Feng, Feng, Tianning, Juntong Ni +5 · 2 citations
    Computer Science · Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Machine Learning in Healthcare #Signal Processing (eess.SP) #electronic engineering #information engineering
  48. The cyclic diagnosability of Cayley graphs generated by transposition triangle-free unicyclic graphs under the PMC and MM* models
    2026/07/27 by Jialu Ding, Caixia Li, Pingshan Li +1
    Mathematics · #math.CO
  49. Classification of two-distance-transitive Cayley graphs of the semi-dihedral groups
    2026/07/22 by Wei Jin, Cai Xia Li, Ping Shan Li
    Mathematics · #math.CO
  50. A classification of locally-quasiprimitive circulant digraphs
    2026/07/21 by Wei Jin, Yu Xiang Jin, Cai Xia Li +1
    Mathematics · #math.CO