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Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs


May 03, 2021
Saurav Manchanda, Da Zheng, George Karypis


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Learning over Families of Sets -- Hypergraph Representation Learning for Higher Order Tasks


Jan 19, 2021
Balasubramaniam Srinivasan, Da Zheng, George Karypis

* Published as a conference paper at SIAM International Conference on Data Mining(SDM 2021) 

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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

* SC'20; changed all figures to type 1 

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PanRep: Universal node embeddings for heterogeneous graphs


Jul 20, 2020
Vassilis N. Ioannidis, Da Zheng, George Karypis


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Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing


Jul 20, 2020
Vassilis N. Ioannidis, Da Zheng, George Karypis


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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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Linear Optimal Low Rank Projection for High-Dimensional Multi-Class Data


Feb 27, 2018
Joshua T. Vogelstein, Minh Tang, Eric Bridgeford, Da Zheng, Randal Burns, Mauro Maggioni

* 6 figures 

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