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George Karypis

  1. Multimodal Chain-of-Thought Reasoning in Language Models
    2023/02/02 by Zhuosheng Zhang, Zhang, Zhuosheng, Aston Zhang +9 · 1 voice · 136 citations
    Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.CV
  2. A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
    1998/01/01 by George Karypis, Vipin Kumar · 64 citations
    Computer Science · Engineering · #Advanced Graph Theory Research #Interconnection Networks and Systems #VLSI and FPGA Design Techniques
  3. Item-based top-<i>N</i>recommendation algorithms
    2004/01/01 by Mukund Deshpande, George Karypis · 30 citations
    Computer Science · #Data Management and Algorithms #Image Retrieval and Classification Techniques #Recommender Systems and Techniques
  4. A Self-Attentive model for Knowledge Tracing
    2019/07/16 by Shalini Pandey, George Karypis, Pandey, Shalini +1 · 22 citations
    Computer Science · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Topic Modeling
  5. Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
    2023/10/14 by Hengrui Zhang, Zhang, Hengrui, Jiani Zhang +13 · 29 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare
  6. GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
    2024/05/30 by Costas Mavromatis, George Karypis, Mavromatis, Costas +1 · 32 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  7. Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
    2022/06/14 by Zhiqi Bu, Yuxiang Wang, Bu, Zhiqi +5 · 13 citations
    Computer Science · #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques #Privacy-Preserving Technologies in Data
  8. Meta-learning via Language Model In-context Tuning
    2021/10/15 by Yanda Chen, Ruiqi Zhong, Chen, Yanda +7 · 11 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  9. Differentially Private Optimization on Large Model at Small Cost
    2022/09/30 by Zhiqi Bu, Yuxiang Wang, Bu, Zhiqi +5 · 11 citations
    Computer Science · #Advanced Neural Network Applications #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  10. DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
    2020/10/11 by Da Zheng, Zheng, Da, Chao Ma +15 · 8 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Distributed #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  11. XTab: Cross-table Pretraining for Tabular Transformers
    2023/05/10 by Bingzhao Zhu, Zhu, Bingzhao, Xingjian Shi +9 · 9 citations
    Medicine · #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
    2024/04/17 by Costas Mavromatis, Petros Karypis, Mavromatis, Costas +3 · 11 citations
    Computer Science · Engineering · #Advancements in Photolithography Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #VLSI and Analog Circuit Testing #VLSI and FPGA Design Techniques
  13. OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
    2024/02/22 by Kezhi Kong, Kong, Kezhi, Jiani Zhang +13 · 7 citations
    Computer Science · Decision Sciences · #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  14. Coarse-to-Fine Sparse Sequential Recommendation
    2022/04/04 by Jiacheng Li, Tong Zhao, Li, Jiacheng +13 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques
  15. DGL-KE: Training Knowledge Graph Embeddings at Scale
    2020/04/18 by Da Zheng, Xiang Song, Zheng, Da +15 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #Distributed #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Parallel #Topic Modeling #and Cluster Computing (cs.DC)
  16. Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
    2023/04/20 by Costas Mavromatis, Vassilis N. Ioannidis, Mavromatis, Costas +15 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  17. Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
    2023/06/01 by Hengzhi Pei, Jinman Zhao, Pei, Hengzhi +7 · 4 citations
    Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #I.2.2 #I.2.7 #Machine Learning (cs.LG) #Software Engineering (cs.SE) #Software Engineering Research #Software System Performance and Reliability
  18. Open Materials Generation with Stochastic Interpolants
    2025/02/04 by Philipp Hoellmer, Hoellmer, Philipp, Thomas Egg +25 · 9 citations
    Engineering · #Architecture and Computational Design #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
  19. HYTREL: Hypergraph-enhanced Tabular Data Representation Learning
    2023/07/14 by Pei Chen, Soumajyoti Sarkar, Chen, Pei +11 · 3 citations
    Computer Science · #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI) #Imbalanced Data Classification Techniques
  20. NameGuess: Column Name Expansion for Tabular Data
    2023/10/19 by Jiani Zhang, Zhang, Jiani, Zhengyuan Shen +9 · 3 citations
    Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Data Quality and Management #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
  21. Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
    2022/04/23 by Vishakh Padmakumar, Padmakumar, Vishakh, Leonard Lausen +9 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  22. Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
    2022/09/30 by Yulun Wu, Wu, Yulun, Robert A. Barton +13 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Gene expression and cancer classification #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  23. Inference Optimization of Foundation Models on AI Accelerators
    2024/07/12 by Youngsuk Park, Kailash Budhathoki, Park, Youngsuk +17 · 3 citations
    Engineering · Computer Science · #Reservoir Engineering and Simulation Methods #Advanced Computational Techniques and Applications #Advanced Data Processing Techniques
  24. Pre-training Differentially Private Models with Limited Public Data
    2024/02/28 by Zhiqi Bu, Xinwei Zhang, Bu, Zhiqi +7 · 2 citations
    Computer Science · Decision Sciences · #Privacy-Preserving Technologies in Data #Auction Theory and Applications
  25. MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
    2025/05/20 by Haoyang Fang, Boran Han, Fang, Haoyang +22 · 4 citations
    Computer Science · #Data Stream Mining Techniques
  26. OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories
    2024/03/12 by Christos Koutras, Koutras, Christos, Jiani Zhang +13 · 2 citations
    Computer Science · #Advanced Database Systems and Queries #Data Mining Algorithms and Applications #Databases (cs.DB) #FOS: Computer and information sciences #Semantic Web and Ontologies
  27. Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems
    2021/09/09 by Αθανάσιος Ν. Νικολακόπουλος, Nikolakopoulos, Athanasios N., Xia Ning +5 · 1 citation
    Computer Science · Decision Sciences · #Recommender Systems and Techniques #Advanced Bandit Algorithms Research #Optimization and Search Problems
  28. TempoQR: Temporal Question Reasoning over Knowledge Graphs
    2021/12/10 by Costas Mavromatis, Mavromatis, Costas, Prasanna Lakkur Subramanyam +13 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  29. TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs
    2022/03/28 by Hongkuan Zhou, Zhou, Hongkuan, Da Zheng +9 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Topic Modeling
  30. Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers
    2024/10/29 by Yingheng Wang, Wang, Yingheng, Zichen Wang +11 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG) #Machine Learning in Bioinformatics
  31. Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
    2024/10/18 by Zhepeng Cen, Yao Liu, Cen, Zhepeng +11 · 2 citations
    Computer Science · #Natural Language Processing Techniques
  32. Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
    2022/10/14 by Zeren Shui, Shui, Zeren, Daniel S. Karls +9 · 1 citation
    Computer Science · Engineering · Materials Science · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fuel Cells and Related Materials #Machine Learning (cs.LG) #Machine Learning in Materials Science #Topic Modeling
  33. ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs
    2022/10/24 by Costas Mavromatis, Mavromatis, Costas, George Karypis +1 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #Semantic Web and Ontologies #Topic Modeling
  34. Understanding Silent Data Corruption in LLM Training
    2025/02/17 by Jeffrey Ma, Ma, Jeffrey, Hengzhi Pei +5 · 2 citations
    Business, Management and Accounting · Computer Science · Decision Sciences · #Big Data and Business Intelligence #Data Quality and Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  35. Zero redundancy distributed learning with differential privacy
    2023/11/20 by Zhiqi Bu, Bu, Zhiqi, Justin Chiu +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computational Complexity (cs.CC) #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  36. Extreme Miscalibration and the Illusion of Adversarial Robustness
    2024/02/27 by Vyas Raina, Raina, Vyas, Samson Tan +9 · 1 citation
    Arts and Humanities · Biochemistry, Genetics and Molecular Biology · Social Sciences · #Bacillus and Francisella bacterial research #Computation and Language (cs.CL) #FOS: Computer and information sciences #History of Science and Medicine #Intelligence, Security, War Strategy
  37. Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
    2024/04/28 by Qi Zhu, Da Zheng, Zhu, Qi +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Semantic Web and Ontologies
  38. CoddLLM: Empowering Large Language Models for Data Analytics
    2025/02/01 by Jiani Zhang, Zhang, Jiani, Hengrui Zhang +15 · 2 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Big Data Technologies and Applications #Data Mining Algorithms and Applications #Data Quality and Management #Databases (cs.DB) #FOS: Computer and information sciences
  39. AutoG: Towards automatic graph construction from tabular data
    2025/01/25 by Zhikai Chen, Chen, Zhikai, Han Xie +11 · 1 citation
    Computer Science · #Semantic Web and Ontologies #Data Mining Algorithms and Applications #Natural Language Processing Techniques
  40. A Proximal Operator for Inducing 2:4-Sparsity
    2025/01/29 by Jonas M. Kübler, Kübler, Jonas M, Yu-Xiang Wang +13 · 1 citation
    Computer Science · Mathematics · #Approximation Theory and Sequence Spaces #FOS: Computer and information sciences #Machine Learning (cs.LG) #Matrix Theory and Algorithms