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Graph Neural Networks Inspired by Classical Iterative Algorithms


Mar 10, 2021
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf

* Under review 

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A Biased Graph Neural Network Sampler with Near-Optimal Regret


Mar 01, 2021
Qingru Zhang, David Wipf, Quan Gan, Le Song

* 21 pages, 10 figures 

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DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs


Oct 16, 2020
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis


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BP-Transformer: Modelling Long-Range Context via Binary Partitioning


Nov 11, 2019
Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang


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Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs


Sep 03, 2019
Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander Smola, Zheng Zhang


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First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks


Nov 25, 2015
Quan Gan, Qipeng Guo, Zheng Zhang, Kyunghyun Cho


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