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VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization


Oct 27, 2021
Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John P Dickerson, Furong Huang, Tom Goldstein

* NeurIPS 2021 

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Noisy Labels Can Induce Good Representations


Dec 23, 2020
Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba

* 27 pages, 13 figures 

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How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks


Oct 01, 2020
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka


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Understanding Generalization in Deep Learning via Tensor Methods


Jan 14, 2020
Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang

* 9 pages (main paper), 42 pages (full version) 

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What Can Neural Networks Reason About?


May 31, 2019
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka


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Tensorized Spectrum Preserving Compression for Neural Networks


Jul 10, 2018
Jiahao Su, Jingling Li, Bobby Bhattacharjee, Furong Huang


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