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Minjie Wang
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ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training


Jan 19, 2023
Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang

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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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BiFeat: Supercharge GNN Training via Graph Feature Quantization


Jul 29, 2022
Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Minjie Wang, Cheng Li, Yuxiong He, Feng Yan

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CEP3: Community Event Prediction with Neural Point Process on Graph


May 21, 2022
Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan

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Gaussian Graphical Model Selection for Huge Data via Minipatch Learning


Oct 22, 2021
Tianyi Yao, Minjie Wang, Genevera I. Allen

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Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity


Apr 13, 2021
Minjie Wang, Genevera I. Allen

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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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FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems


Sep 29, 2020
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang

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* SC'20; changed all figures to type 1 
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