| 2026 | WSDM | Third Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis |
| 2025 | ACL | Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. | Miguel Romero Calvo, Shuoyang Ding, Corey D. Barrett, Georgiana Dinu, George Karypis |
| 2025 | ACL | Understanding Silent Data Corruption in LLM Training. | Jeffrey Jian Ma, Hengzhi Pei, Leonard Lausen, George Karypis |
| 2025 | ACL | GNN-RAG: Graph Neural Retrieval for Efficient Large Language Model Reasoning on Knowledge Graphs. | Costas Mavromatis, George Karypis |
| 2025 | EMNLP | BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. | Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis |
| 2025 | ICLR | AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. | Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala |
| 2025 | ICLR | AutoG: Towards automatic graph construction from tabular data. | Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis |
| 2025 | ICML | Open Materials Generation with Stochastic Interpolants. | Philipp Hllmer, Thomas Egg, Maya M. Martirossyan, Eric Fuemmeler, Zeren Shui, Amit Gupta, Pawan Prakash, Adrian E. Roitberg, Mingjie Liu, George Karypis, Mark K. Transtrum, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani |
| 2025 | ICML | Proxsparse: Regularized Learning of Semi-Structured Sparsity masks for Pretrained LLMS. | Hongyi Liu, Rajarshi Saha, Zhen Jia, Youngsuk Park, Jiaji Huang, Shoham Sabach, Yu-Xiang Wang, George Karypis |
| 2025 | IOLTS | When Silicon Fails Silently: Characterizing Hardware-Induced Corruption in LLM Training. | Jeffrey Jian Ma, Hengzhi Pei, Leonard Lausen, George Karypis |
| 2025 | KDD | KDD Workshop on Evaluation and Trustworthiness of Agentic and Generative AI. | Yuan Ling, Shujing Dong, Zheng Chen, Yarong Feng, Sadid Hasan, George Karypis, Chandan K. Reddy |
| 2025 | KDD | Second Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis |
| 2025 | KDD | KDD 2025 Workshop on Inference Optimization for Generative AI. | Panpan Xu, Youngsuk Park, Lin Lee Cheong, Yida Wang, Yiying Zhang, George Karypis, Sherry Marcus |
| 2024 | ACL | Learning to Generate Answers with Citations via Factual Consistency Models. | Rami Aly, Zhiqiang Tang, Samson Tan, George Karypis |
| 2024 | ACL | Extreme Miscalibration and the Illusion of Adversarial Robustness. | Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis |
| 2024 | CIKM | 3rd International Workshop on Industrial Recommendation Systems (IRS). | Luyi Ma, Xiaohan Li, Kamilia Ahmadi, Jianpeng Xu, Philip S. Yu, George Karypis |
| 2024 | CIKM | Revisit Orthogonality in Graph-Regularized MLPs. | Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu |
| 2024 | EMNLP | CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage. | Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis |
| 2024 | EMNLP | Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification. | Zeren Shui, Petros Karypis, Daniel S. Karls, Mingjian Wen, Saurav Manchanda, Ellad B. Tadmor, George Karypis |
| 2024 | ICLR | OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. | Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis |
| 2024 | ICLR | Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. | Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis |
| 2024 | ICML | Differentially Private Bias-Term Fine-tuning of Foundation Models. | Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis |
| 2024 | KDD | KDD workshop on Evaluation and Trustworthiness of Generative AI Models. | Yuan Ling, Shujing Dong, Yarong Feng, Zongyi Joe Liu, George Karypis, Chandan K. Reddy |
| 2024 | KDD | Inference Optimization of Foundation Models on AI Accelerators. | Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kbler, Jiaji Huang, Matthus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis |
| 2024 | KDD | First Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis |
| 2024 | KDD | GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. | Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis |
| 2024 | NAACL | Extending Input Contexts of Language Models through Training on Segmented Sequences. | Petros Karypis, Julian J. McAuley, George Karypis |
| 2024 | PAKDD | SemPool: Simple, Robust, and Interpretable KG Pooling for Enhancing Language Models. | Costas Mavromatis, Petros Karypis, George Karypis |
| 2024 | WSDM | The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). | Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis |
| 2023 | AAAI | Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. | Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis |
| 2023 | ACL | Automatic Table Union Search with Tabular Representation Learning. | Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu |
| 2023 | EMNLP | NameGuess: Column Name Expansion for Tabular Data. | Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis |
| 2023 | ICASSP | Global and Nodal Mutual Information Maximization in Heterogeneous Graphs. | Costas Mavromatis, George Karypis |
| 2023 | ICLR | STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. | Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth |
| 2023 | ICLR | Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. | Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis |
| 2023 | ICML | Differentially Private Optimization on Large Model at Small Cost. | Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis |
| 2023 | ICML | XTab: Cross-table Pretraining for Tabular Transformers. | Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran |
| 2023 | KDD | International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models. | Yuan Ling, Fanyou Wu, Shujing Dong, Yarong Feng, George Karypis, Chandan K. Reddy |
| 2023 | PPoPP | DSP: Efficient GNN Training with Multiple GPUs. | Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis |
| 2023 | WWW | The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). | Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu |
| 2023 | SC | DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. | Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna |
| 2022 | AAAI | TempoQR: Temporal Question Reasoning over Knowledge Graphs. | Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis |
| 2022 | ACL | Meta-learning via Language Model In-context Tuning. | Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He |
| 2022 | AISTATS | Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. | Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis |
| 2022 | EMNLP | ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs. | Costas Mavromatis, George Karypis |
| 2022 | KDD | Nimble GNN Embedding with Tensor-Train Decomposition. | Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc |
| 2022 | KDD | Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs. | Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, George Karypis |
| 2022 | NAACL | Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. | Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis |
| 2022 | SIGIR | Coarse-to-Fine Sparse Sequential Recommendation. | Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley |
| 2022 | WSDM | Graph Neural Network Research at AWS AI. | George Karypis |
| 2021 | AAAI | Importance Assessment in Scholarly Networks. | Saurav Manchanda, George Karypis |
| 2021 | EMNLP | Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing. | Haoyu He, Xingjian Shi, Jonas Mueller, Sheng Zha, Mu Li, George Karypis |
| 2021 | EMNLP | Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics. | Saurav Manchanda, George Karypis |
| 2021 | KDD | Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs. | Jialin Dong, Da Zheng, Lin F. Yang, George Karypis |
| 2021 | KDD | 2nd International Workshop on Industrial Recommendation Systems (IRS). | Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu |
| 2021 | PAKDD | Universal Representation for Code. | Linfeng Liu, Hoan Nguyen, George Karypis, Srinivasan Sengamedu |
| 2021 | PAKDD | Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs. | Costas Mavromatis, George Karypis |
| 2021 | PAKDD | IACN: Influence-Aware and Attention-Based Co-evolutionary Network for Recommendation. | Shalini Pandey, George Karypis, Jaideep Srivastava |
| 2021 | RecSys | EX3: Explainable Attribute-aware Item-set Recommendations. | Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang |
| 2021 | WSDM | Scalable Graph Neural Networks with Deep Graph Library. | Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis |
| 2021 | SDM | Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks. | Balasubramaniam Srinivasan, Da Zheng, George Karypis |
| 2020 | AAAI | CAWA: An Attention-Network for Credit Attribution. | Saurav Manchanda, George Karypis |
| 2020 | ICDM | Learning Student Interest Trajectory for MOOC Thread Recommendation. | Shalini Pandey, Andrew S. Lan, George Karypis, Jaideep Srivastava |
| 2020 | ICDM | Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties. | Zeren Shui, George Karypis |
| 2020 | KDD | Scalable Graph Neural Networks with Deep Graph Library. | Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis |
| 2020 | WWW | Learning Graph Neural Networks with Deep Graph Library. | Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis |
| 2020 | SIGIR | DGL-KE: Training Knowledge Graph Embeddings at Scale. | Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis |
| 2020 | SC | DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. | Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis |
| 2019 | CIKM | Intent Term Weighting in E-commerce Queries. | Saurav Manchanda, Mohit Sharma, George Karypis |
| 2019 | EDM | Neural Attentive Knowledge-based Model for Grade Prediction. | Sara Morsy, George Karypis |
| 2019 | EDM | A Self Attentive model for Knowledge Tracing. | Shalini Pandey, George Karypis |
| 2019 | EDM | Scholars Walk: A Markov Chain Framework for Course Recommendation. | Agoritsa Polyzou, Athanasios N. Nikolakopoulos, George Karypis |
| 2019 | ICPP | A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures. | Ancy Sarah Tom, George Karypis |
| 2019 | LAK | UPM: Discovering Course Enrollment Sequences Associated with Success. | Asmaa Elbadrawy, George Karypis |
| 2019 | LAK | A Study on Curriculum Planning and Its Relationship with Graduation GPA and Time To Degree. | Sara Morsy, George Karypis |
| 2019 | RecSys | Personalized diffusions for top-n recommendation. | Athanasios N. Nikolakopoulos, Dimitris Berberidis, George Karypis, Georgios B. Giannakis |
| 2019 | WWW | Adaptive matrix completion for the users and the items in tail. | Mohit Sharma, George Karypis |
| 2019 | WSDM | RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation. | Athanasios N. Nikolakopoulos, George Karypis |
| 2018 | EDM | Feature extraction for classifying students based on their academic performance. | Agoritsa Polyzou, George Karypis |
| 2018 | ICDM | Text Segmentation on Multilabel Documents: A Distant-Supervised Approach. | Saurav Manchanda, George Karypis |
| 2018 | KDD | Local Latent Space Models for Top-N Recommendation. | Evangelia Christakopoulou, George Karypis |
| 2018 | PAKDD | Distributed Representation of Multi-sense Words: A Loss Driven Approach. | Saurav Manchanda, George Karypis |
| 2018 | WWW | Recent Advances in Recommender Systems: Sets, Local Models, Coverage, and Errors. | George Karypis |
| 2018 | SDM | Streaming Tensor Factorization for Infinite Data Sources. | Shaden Smith, Kejun Huang, Nicholas D. Sidiropoulos, George Karypis |
| 2017 | DSAA | Enriching Course-Specific Regression Models with Content Features for Grade Prediction. | Qian Hu, Agoritsa Polyzou, George Karypis, Huzefa Rangwala |
| 2017 | EuroPar | Accelerating the Tucker Decomposition with Compressed Sparse Tensors. | Shaden Smith, George Karypis |
| 2017 | ICPP | Constrained Tensor Factorization with Accelerated AO-ADMM. | Shaden Smith, Alec Beri, George Karypis |
| 2017 | RecSys | Improving Higher Education: Learning Analytics & Recommender Systems Research. | George Karypis |
| 2017 | SDM | Cumulative Knowledge-based Regression Models for Next-term Grade Prediction. | Sara Morsy, George Karypis |
| 2016 | DSAA | Efficient Identification of Tanimoto Nearest Neighbors. | David C. Anastasiu, George Karypis |
| 2016 | ICPP | A Parallel Hill-Climbing Refinement Algorithm for Graph Partitioning. | Dominique LaSalle, George Karypis |
| 2016 | PAKDD | Grade Prediction with Course and Student Specific Models. | Agoritsa Polyzou, George Karypis |
| 2016 | RecSys | Local Item-Item Models For Top-N Recommendation. | Evangelia Christakopoulou, George Karypis |
| 2016 | RecSys | Domain-Aware Grade Prediction and Top-n Course Recommendation. | Asmaa Elbadrawy, George Karypis |
| 2016 | SC | Fast Parallel Cosine K-Nearest Neighbor Graph Construction. | David C. Anastasiu, George Karypis |
| 2016 | SC | An exploration of optimization algorithms for high performance tensor completion. | Shaden Smith, Jongsoo Park, George Karypis |
| 2015 | CIKM | L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning. | David C. Anastasiu, George Karypis |
| 2015 | EuroPar | Efficient Nested Dissection for Multicore Architectures. | Dominique LaSalle, George Karypis |
| 2015 | ICDE | Understanding computer usage evolution. | David C. Anastasiu, Al Mamunur Rashid, Andrea Tagarelli, George Karypis |
| 2015 | LAK | Collaborative multi-regression models for predicting students' performance in course activities. | Asmaa Elbadrawy, R. Scott Studham, George Karypis |
| 2015 | SC | PL2AP: fast parallel cosine similarity search. | David C. Anastasiu, George Karypis |
| 2015 | SC | Improving graph partitioning for modern graphs and architectures. | Dominique LaSalle, Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Pradeep Dubey, George Karypis |
| 2015 | SC | Tensor-matrix products with a compressed sparse tensor. | Shaden Smith, George Karypis |
| 2015 | SDM | Feature-based factorized Bilinear Similarity Model for Cold-Start Top- | Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis |
| 2014 | ACSSC | Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition. | Niranjay Ravindran, Nicholas D. Sidiropoulos, Shaden Smith, George Karypis |
| 2014 | DSAA | Welcome from DSAA 2014 chairs. | Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang |
| 2014 | ICDE | L2AP: Fast cosine similarity search with prefix L-2 norm bounds. | David C. Anastasiu, George Karypis |
| 2014 | ICDM | NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems. | Santosh Kabbur, George Karypis |
| 2014 | PAKDD | HOSLIM: Higher-Order Sparse LInear Method for Top-N Recommender Systems. | Evangelia Christakopoulou, George Karypis |
| 2013 | ICTAI | A Versatile Graph-Based Approach to Package Recommendation. | Roberto Interdonato, Salvatore Romeo, Andrea Tagarelli, George Karypis |
| 2013 | KDD | FISM: factored item similarity models for top-N recommender systems. | Santosh Kabbur, Xia Ning, George Karypis |
| 2013 | PAKDD | AREM: A Novel Associative Regression Model Based on EM Algorithm. | Zhonghua Jiang, George Karypis |
| 2013 | SC | BDMPI: conquering BigData with small clusters using MPI. | Dominique LaSalle, George Karypis |
| 2012 | EuroPar | Fast and Effective Lossy Compression Algorithms for Scientific Datasets. | Jeremy Iverson, Chandrika Kamath, George Karypis |
| 2012 | RecSys | Sparse linear methods with side information for top-n recommendations. | Xia Ning, George Karypis |
| 2012 | WWW | Sparse linear methods with side information for Top-N recommendations. | Xia Ning, George Karypis |
| 2011 | DIS | A Statistical Model for Topically Segmented Documents. | Giovanni Ponti, Andrea Tagarelli, George Karypis |
| 2011 | ICDM | Algorithms for Mining the Evolution of Conserved Relational States in Dynamic Networks. | Rezwan Ahmed, George Karypis |
| 2011 | ICDM | SLIM: Sparse Linear Methods for Top-N Recommender Systems. | Xia Ning, George Karypis |
| 2010 | ICDM | Content-Based Methods for Predicting Web-Site Demographic Attributes. | Santosh Kabbur, Eui-Hong Han, George Karypis |
| 2010 | PRICAI | A Novel Approach to Compute Similarities and Its Application to Item Recommendation. | Christian Desrosiers, George Karypis |
| 2009 | PAKDD | A Kernel Framework for Protein Residue Annotation. | Huzefa Rangwala, Christopher Kauffman, George Karypis |
| 2009 | SDM | The Set Classification Problem and Solution Methods. | Xia Ning, George Karypis |
| 2008 | APBC | fRMSDAlign: Protein Sequence Alignment Using Predicted Local Structure Information for Pairs with Low Sequence Identity. | Huzefa Rangwala, George Karypis |
| 2008 | ICA3PP | Architecture Aware Partitioning Algorithms. | Irene Moulitsas, George Karypis |
| 2008 | ICDM | The Set Classification Problem and Solution Methods. | Xia Ning, George Karypis |
| 2008 | PSB | An Analysis of Information Content Present in Protein-DNA Interactions. | Christopher Kauffman, George Karypis |
| 2007 | SDM | Discriminating Subsequence Discovery for Sequence Clustering. | Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal |
| 2006 | ICDM | Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification. | Nikil Wale, George Karypis |
| 2006 | KDD | Towards a Scalable | Al Mamunur Rashid, Shyong K. Lam, Adam LaPitz, George Karypis, John Riedl |
| 2006 | KDD | Coherent closed quasi-clique discovery from large dense graph databases. | Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis |
| 2005 | AMIA | Feature Mining for Prediction of Degree of Liver Fibrosis. | Benjamin W. Mayer, Huzefa Rangwala, Rohit Gupta, Jaideep Srivastava, George Karypis, Vipin Kumar, Piet C. de Groen |
| 2005 | CIKM | Feature-based recommendation system. | Eui-Hong Han, George Karypis |
| 2005 | ICAIL | Effective Document Clustering for Large Heterogeneous Law Firm Collections. | Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, George Karypis |
| 2005 | SDM | Influence in Ratings-Based Recommender Systems: An Algorithm-Independent Approach. | Al Mamunur Rashid, George Karypis, John Riedl |
| 2005 | SDM | HARMONY: Efficiently Mining the Best Rules for Classification. | Jianyong Wang, George Karypis |
| 2005 | SDM | Topic-driven Clustering for Document Datasets. | Ying Zhao, George Karypis |
| 2004 | CIKM | Soft clustering criterion functions for partitional document clustering: a summary of results. | Ying Zhao, George Karypis |
| 2004 | DAC | Multi-resource aware partitioning algorithms for FPGAs with heterogeneous resources. | Navaratnasothie Selvakkumaran, Abhishek Ranjan, Salil Raje, George Karypis |
| 2004 | FPGA | Multi-resource aware partitioning algorithms for FPGAs with heterogeneous resources. | Navaratnasothie Selvakkumaran, Abhishek Ranjan, Salil Raje, George Karypis |
| 2004 | ICDM | GREW-A Scalable Frequent Subgraph Discovery Algorithm. | Michihiro Kuramochi, George Karypis |
| 2004 | ICDM | SUMMARY: Efficiently Summarizing Transactions for Clustering. | Jianyong Wang, George Karypis |
| 2004 | KDD | Efficient closed pattern mining in the presence of tough block constraints. | Krishna Gade, Jianyong Wang, George Karypis |
| 2004 | SDM | Finding Frequent Patterns in a Large Sparse Graph. | Michihiro Kuramochi, George Karypis |
| 2004 | SDM | BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint. | Jianyong Wang, George Karypis |
| 2003 | BIBE | Prediction of Contact Maps Using Support Vector Machines. | Ying Zhao, George Karypis |
| 2003 | CIKM | Intelligent metasearch engine for knowledge management. | Eui-Hong Han, George Karypis, Doug Mewhort, Keith Hatchard |
| 2003 | ICCAD | Multi.Objective Hypergraph Partitioning Algorithms for Cut and Maximum Subdomain Degree Minimization. | Navaratnasothie Selvakkumaran, George Karypis |
| 2003 | ICDM | Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds. | Mukund Deshpande, Michihiro Kuramochi, George Karypis |
| 2003 | SC | Multi-Constraint Mesh Partitioning for Contact/Impact Computations. | George Karypis |
| 2002 | CIKM | Using conjunction of attribute values for classification. | Mukund Deshpande, George Karypis |
| 2002 | CIKM | Evaluation of hierarchical clustering algorithms for document datasets. | Ying Zhao, George Karypis |
| 2002 | ICCAD | Multi-objective circuit partitioning for cutsize and path-based delay minimization. | Cristinel Ababei, Navaratnasothie Selvakkumaran, Kia Bazargan, George Karypis |
| 2002 | ICDM | Discovering Frequent Geometric Subgraphs. | Michihiro Kuramochi, George Karypis |
| 2002 | ICDM | SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint. | Masakazu Seno, George Karypis |
| 2002 | KDD | Automated Approaches for Classifying Structures. | Mukund Deshpande, Michihiro Kuramochi, George Karypis |
| 2002 | PAKDD | Evaluation of Techniques for Classifying Biological Sequences. | Mukund Deshpande, George Karypis |
| 2002 | WWW | Expert agreement and content based reranking in a meta search environment using Mearf. | B. Uygar Oztekin, George Karypis, Vipin Kumar |
| 2001 | BIBE | Gene Classification using Expression Profiles: A Feasibility Study. | Michihiro Kuramochi, George Karypis |
| 2001 | CIKM | Evaluation of Item-Based Top-N Recommendation Algorithms. | George Karypis |
| 2001 | CLUSTER | Graph Partitioning for Dynamic, Adaptive and Multi-phase Scientific Simulations. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 2001 | EuroPar | Parallel Tree Projection Algorithm for Sequence Mining. | Valerie Guralnik, Nivea Garg, George Karypis |
| 2001 | ICDM | A Scalable Algorithm for Clustering Sequential Data. | Valerie Guralnik, George Karypis |
| 2001 | ICDM | Frequent Subgraph Discovery. | Michihiro Kuramochi, George Karypis |
| 2001 | ICDM | LPMiner: An Algorithm for Finding Frequent Itemsets Using Length-Decreasing Support Constraint. | Masakazu Seno, George Karypis |
| 2001 | KDD | A scalable algorithm for clustering protein sequences. | Valerie Guralnik, George Karypis |
| 2001 | PAKDD | Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification. | Eui-Hong Han, George Karypis, Vipin Kumar |
| 2001 | WWW | Item-based collaborative filtering recommendation algorithms. | Badrul Munir Sarwar, George Karypis, Joseph A. Konstan, John Riedl |
| 2001 | SC | Multilevel algorithms for generating coarse grids for multigrid methods. | Irene Moulitsas, George Karypis |
| 2001 | SDM | Selective Markov Models for Predicting Web-Page Accesses. | Mukund Deshpande, George Karypis |
| 2000 | CIKM | Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categorization & Retrieval. | Eui-Hong Han, George Karypis |
| 2000 | EuroPar | Memory Management Techniques for Gang Scheduling. | William Leinberger, George Karypis, Vipin Kumar |
| 2000 | EuroPar | Parallel Multilevel Algorithms for Multi-constraint Graph Partitioning (Distinguished Paper). | Kirk Schloegel, George Karypis, Vipin Kumar |
| 2000 | HCW | Load Balancing Across Near-Homogeneous Multi-Resource Servers. | William Leinberger, George Karypis, Vipin Kumar |
| 2000 | SC | A Unified Algorithm for Load-balancing Adaptive Scientific Simulations. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 1999 | DAC | Multilevel | George Karypis, Vipin Kumar |
| 1999 | EuroPar | A New Algorithm for Multi-objective Graph Partitioning. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 1999 | ICPP | Multi-Capacity Bin Packing Algorithms with Applications to Job Scheduling under Multiple Constraints. | William Leinberger, George Karypis, Vipin Kumar |
| 1999 | KDD | Efficient Parallel Algorithms for Mining Associations. | Mahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar |
| 1999 | SC | Job Scheduling in the presence of Multiple Resource Requirements. | William Leinberger, George Karypis, Vipin Kumar |
| 1998 | SC | Multilevel Algorithms for Multi-Constraint Graph Partitioning. | George Karypis, Vipin Kumar |
| 1998 | SC | Dynamic Repartitioning of Adaptively Refined Meshes. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 1998 | SRDS | Load Balancing of Dynamic and Adaptive Mesh-Based Computations. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 1997 | DAC | Multilevel Hypergraph Partitioning: Application in VLSI Domain. | George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar |
| 1997 | EuroPar | Repartitioning of Adaptive Meshes: Experiments with Multilevel Diffusion. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 1997 | HiPC | A high performance two dimensional scalable parallel algorithm for solving sparse triangular systems. | Mahesh V. Joshi, Anshul Gupta, George Karypis, Vipin Kumar |
| 1997 | SC | Parallel Threshold-based ILU Factorization. | George Karypis, Vipin Kumar |
| 1997 | SIGMOD | Scalable Parallel Data Mining for Association Rules. | Eui-Hong Han, George Karypis, Vipin Kumar |
| 1996 | SC | Parallel Multilevel k-way Partitioning Scheme for Irregular Graphs. | George Karypis, Vipin Kumar |
| 1995 | ICPP | Multilevel Graph Partitioning Schemes. | George Karypis, Vipin Kumar |
| 1995 | SC | Analysis of Multilevel Graph Partitioning. | George Karypis, Vipin Kumar |
| 1994 | SC | A parallel formulation of interior point algorithms. | George Karypis, Anshul Gupta, Vipin Kumar |
| 1992 | SC | Unstructured Tree Search on SIMD Parallel Computers: A Summary of Results. | George Karypis, Vipin Kumar |