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Learning Protein Representations via Complete 3D Graph Networks


Jul 26, 2022
Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji


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GraphFM: Improving Large-Scale GNN Training via Feature Momentum


Jun 18, 2022
Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji

* ICML 2022 

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ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs


Jun 17, 2022
Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji


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GOOD: A Graph Out-of-Distribution Benchmark


Jun 16, 2022
Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji


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Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks


Jun 16, 2021
Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji

* One of the winners of 2021 KDD Cup on OGB Large-Scale Challenge 

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DIG: A Turnkey Library for Diving into Graph Deep Learning Research


Mar 23, 2021
Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji


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Spherical Message Passing for 3D Graph Networks


Feb 26, 2021
Yi Liu, Limei Wang, Meng Liu, Xuan Zhang, Bora Oztekin, Shuiwang Ji

* 16 pages, 8 figures, 8 tables 

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MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery


Dec 02, 2020
Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji

* Supplementary Material: https://documentcloud.adobe.com/link/track?uri=urn:aaid:scds:US:d0ca85d1-c6f9-428b-ae2b-c3bf3257196d 

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