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James Cheng

DGI: Easy and Efficient Inference for GNNs

Nov 28, 2022
Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang

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* 10 pages, 10 figures

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A Representation Learning Framework for Property Graphs

Jun 27, 2022
Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang

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* This paper is published in KDD 2019. Code can be found here: https://github.com/yifan-h/PGE

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Measuring and Improving the Use of Graph Information in Graph Neural Networks

Jun 27, 2022
Yifan Hou, Jian Zhang, James Cheng, Kaili Ma, Richard T. B. Ma, Hongzhi Chen, Ming-Chang Yang

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* This paper has been published in ICLR 2020. Code and Dataset can be found here: https://github.com/yifan-h/CS-GNN

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Pareto Invariant Risk Minimization

Jun 15, 2022
Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Kaili Ma, Yonggang Zhang, Han Yang, Bo Han, James Cheng

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* A preprint version, 9 pages, 12 figures

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Invariance Principle Meets Out-of-Distribution Generalization on Graphs

Feb 11, 2022
Yongqiang Chen, Yonggang Zhang, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng

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* A preprint version

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Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization

Sep 30, 2021
Kaiwen Zhou, Anthony Man-Cho So, James Cheng

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* 21 pages, 22 figures

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