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George Karypis

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Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces

Nov 27, 2021
Fabio Broccatelli, Richard Trager, Michael Reutlinger, George Karypis, Mufei Li

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Meta-learning via Language Model In-context Tuning

Oct 15, 2021
Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He

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Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation

Oct 12, 2021
Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina, George Karypis

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Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing

Sep 23, 2021
Haoyu He, Xingjian Shi, Jonas Mueller, Zha Sheng, Mu Li, George Karypis

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HeMI: Multi-view Embedding in Heterogeneous Graphs

Sep 14, 2021
Costas Mavromatis, George Karypis

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FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation

Sep 13, 2021
Agoritsa Polyzou, Maria Kalantzi, George Karypis

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Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems

Sep 09, 2021
Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis

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Position-based Hash Embeddings For Scaling Graph Neural Networks

Sep 09, 2021
Maria Kalantzi, George Karypis

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TraverseNet: Unifying Space and Time in Message Passing

Aug 25, 2021
Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis

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DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science

Jun 27, 2021
Mufei Li, Jinjing Zhou, Jiajing Hu, Wenxuan Fan, Yangkang Zhang, Yaxin Gu, George Karypis

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