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Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs


Apr 20, 2023
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis

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PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction


Mar 21, 2023
Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun

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OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization


Jan 31, 2023
Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu

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PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks


Jan 16, 2023
Kun Wu, Mert Hidayetoğlu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-mei Hwu

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From Local to Global: Spectral-Inspired Graph Neural Networks


Sep 24, 2022
Ningyuan Huang, Soledad Villar, Carey E. Priebe, Da Zheng, Chengyue Huang, Lin Yang, Vladimir Braverman

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Efficient and effective training of language and graph neural network models


Jun 22, 2022
Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis

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Nimble GNN Embedding with Tensor-Train Decomposition


Jun 21, 2022
Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutos, George Karypis, Richard Vuduc

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* To appear in the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 22) 

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TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs


Mar 28, 2022
Hongkuan Zhou, Da Zheng, Israt Nisa, Vasileios Ioannidis, Xiang Song, George Karypis

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* VLDB'22 

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Dr. Top-k: Delegate-Centric Top-k on GPUs


Sep 16, 2021
Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S Li, Hang Liu

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* To be published in The International Conference for High Performance Computing, Networking, Storage and Analysis (SC 21) 

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