George Karypis

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 213

Top Venues

Publications

Costas Mavromatis, George Karypis
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning. CoRR (2024)
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
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD (2024)
Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
Inference Optimization of Foundation Models on AI Accelerators. KDD (2024)
Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis
First Workshop on Generative AI for Recommender Systems and Personalization. KDD (2024)
Costas Mavromatis, Petros Karypis, George Karypis
SemPool: Simple, robust, and interpretable KG pooling for enhancing language models. CoRR (2024)
Yuan Ling, Shujing Dong, Yarong Feng, Zongyi Joe Liu, George Karypis, Chandan K. Reddy
KDD workshop on Evaluation and Trustworthiness of Generative AI Models. KDD (2024)
Rami Aly, Zhiqiang Tang, Samson Tan, George Karypis
Learning to Generate Answers with Citations via Factual Consistency Models. ACL (1) (2024)
Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. CoRR (2024)
Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. ICLR (2024)
Christos Koutras, Jiani Zhang, Xiao Qin, Chuan Lei, Vasileios Ioannidis, Christos Faloutsos, George Karypis, Asterios Katsifodimos
OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories. CoRR (2024)
Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis
Extreme Miscalibration and the Illusion of Adversarial Robustness. ACL (1) (2024)
Rami Aly, Zhiqiang Tang, Samson Tan, George Karypis
Learning to Generate Answers with Citations via Factual Consistency Models. CoRR (2024)
Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis
The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). WSDM (2024)
Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis
Extreme Miscalibration and the Illusion of Adversarial Robustness. CoRR (2024)
Costas Mavromatis, Petros Karypis, George Karypis
SemPool: Simple, Robust, and Interpretable KG Pooling for Enhancing Language Models. PKDD (4) (2024)
Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola
Multimodal Chain-of-Thought Reasoning in Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Costas Mavromatis, Petros Karypis, George Karypis
Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization. CoRR (2024)
Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. ICLR (2024)
Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
Inference Optimization of Foundation Models on AI Accelerators. CoRR (2024)
Da Zheng, Xiang Song, Qi Zhu, Jiani 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
GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR (2024)
Zhiqiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Tony Hu, Katrin Kirchhoff, George Karypis
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. CoRR (2024)
Zhiqi Bu, Xinwei Zhang, Mingyi Hong, Sheng Zha, George Karypis
Pre-training Differentially Private Models with Limited Public Data. CoRR (2024)
Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. CoRR (2024)
Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun
Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR (2024)
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
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR (2023)
Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. AAAI (2023)
Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
XTab: Cross-table Pretraining for Tabular Transformers. ICML (2023)
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. ECML/PKDD (3) (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-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 Küçük-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 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
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR (2023)
Zhiqi Bu, Justin Chiu, Ruixuan Liu, Sheng Zha, George Karypis
Zero redundancy distributed learning with differential privacy. CoRR (2023)
Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, George Karypis, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Christian Schulz, Roohani Sharma, Darren Strash, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman
Open Problems in (Hyper)Graph Decomposition. CoRR (2023)
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. CoRR (2023)
Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis
DSP: Efficient GNN Training with Multiple GPUs. PPoPP (2023)
Hengrui Zhang, Jiani Zhang, Balasubramaniam Srinivasan, Zhengyuan Shen, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. CoRR (2023)
Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola
Multimodal Chain-of-Thought Reasoning in Language Models. CoRR (2023)
Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
Large Language Models of Code Fail at Completing Code with Potential Bugs. NeurIPS (2023)
Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
Large Language Models of Code Fail at Completing Code with Potential Bugs. CoRR (2023)
Israt Nisa, Minjie Wang, Da Zheng, Qiang Fu, Ümit V. Çatalyürek, George Karypis
Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU. IPDPS Workshops (2023)
Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
NameGuess: Column Name Expansion for Tabular Data. EMNLP (2023)
Zhiqi Bu, Ruixuan Liu, Yu-Xiang Wang, Sheng Zha, George Karypis
On the accuracy and efficiency of group-wise clipping in differentially private optimization. CoRR (2023)
Fan Yang, Fuzhong Xue, Yanchun Zhang, George Karypis
Kernelized Multitask Learning Method for Personalized Signaling Adverse Drug Reactions. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Ruixuan Liu, Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
Coupling public and private gradient provably helps optimization. CoRR (2023)
Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
NameGuess: Column Name Expansion for Tabular Data. CoRR (2023)
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger. NeurIPS (2023)
Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
XTab: Cross-table Pretraining for Tabular Transformers. CoRR (2023)
Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. CoRR (2023)
Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection. CoRR (2023)
Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Yang Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. CoRR (2023)
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
Differentially Private Optimization on Large Model at Small Cost. ICML (2023)
Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis
The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). WWW (Companion Volume) (2023)
Yuan Ling, Fanyou Wu, Shujing Dong, Yarong Feng, George Karypis, Chandan K. Reddy
International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models. KDD (2023)
Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu
Automatic Table Union Search with Tabular Representation Learning. ACL (Findings) (2023)
Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning. NeurIPS (2023)
Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. SC (2023)
Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. ICLR (2023)
Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. CoRR (2023)
Costas Mavromatis, George Karypis
Global and Nodal Mutual Information Maximization in Heterogeneous Graphs. ICASSP (2023)
Petros Karypis, Julian J. McAuley, George Karypis
Extending Input Contexts of Language Models through Training on Segmented Sequences. CoRR (2023)
Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis
HYTREL: Hypergraph-enhanced Tabular Data Representation Learning. CoRR (2023)
George Karypis, Christian Schulz, Darren Strash, Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Roohani Sharma, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman
Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). Dagstuhl Reports 13 (8) (2023)
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
Differentially Private Bias-Term only Fine-tuning of Foundation Models. CoRR (2022)
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger. CoRR (2022)
Hongkuan Zhou, Da Zheng, Israt Nisa, Vasileios Ioannidis, Xiang Song, George Karypis
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs. CoRR (2022)
Soji Adeshina, Jian Zhang, Muhyun Kim, Min Chen, Rizal Fathony, Advitiya Vashisht, Jia Chen, George Karypis
PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks. ICKG (2022)
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
Differentially Private Optimization on Large Model at Small Cost. CoRR (2022)
Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. CoRR (2022)
Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis, Xiang Song, George Karypis
TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs. Proc. VLDB Endow. 15 (8) (2022)
Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. CoRR (2022)
Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. Proc. VLDB Endow. 16 (1) (2022)
Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis
Efficient and effective training of language and graph neural network models. CoRR (2022)
Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. AISTATS (2022)
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley
Coarse-to-Fine Sparse Sequential Recommendation. CoRR (2022)
Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties. NeurIPS (2022)
Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
Nimble GNN Embedding with Tensor-Train Decomposition. KDD (2022)
Costas Mavromatis, George Karypis
ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs. EMNLP (Findings) (2022)
Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
Nimble GNN Embedding with Tensor-Train Decomposition. CoRR (2022)
Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang
Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties. CoRR (2022)
Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. ECML/PKDD (2) (2022)
Yulun Wu, Layne C. Price, Zichen Wang, Vassilis N. Ioannidis, George Karypis
Variational Causal Inference. CoRR (2022)
Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He
Meta-learning via Language Model In-context Tuning. ACL (1) (2022)
Costas Mavromatis, George Karypis
ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs. CoRR (2022)
Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. CoRR (2022)
George Karypis
Graph Neural Network Research at AWS AI. WSDM (2022)
Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, George Karypis
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs. KDD (2022)
Maria Kalantzi, Agoritsa Polyzou, George Karypis
FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning. IEEE Trans. Learn. Technol. 15 (6) (2022)
Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr
SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. CoRR (2022)
Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. NAACL-HLT (2022)
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley
Coarse-to-Fine Sparse Sequential Recommendation. SIGIR (2022)
Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip R. Howard, Tetiana Grinberg, Nagib Hakim, George Karypis
TempoQR: Temporal Question Reasoning over Knowledge Graphs. AAAI (2022)
Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. CoRR (2022)
Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. CoRR (2022)
Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. LoG (2022)
Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. CoRR (2022)
Jialin Dong, Da Zheng, Lin F. Yang, George Karypis
Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs. KDD (2021)
Costas Mavromatis, George Karypis
HeMI: Multi-view Embedding in Heterogeneous Graphs. CoRR (2021)
Saurav Manchanda, George Karypis
Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics. EMNLP (1) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

George Karypis