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Hanqing Zeng

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TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning

Feb 18, 2024
Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor Prasanna

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Mixture of Weak & Strong Experts on Graphs

Nov 09, 2023
Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo

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On the Equivalence of Graph Convolution and Mixup

Sep 29, 2023
Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

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LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Aug 16, 2023
Hanjia Lyu, Song Jiang, Hanqing Zeng, Qifan Wang, Si Zhang, Ren Chen, Chris Leung, Jiajie Tang, Yinglong Xia, Jiebo Luo

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Decoupling the Depth and Scope of Graph Neural Networks

Jan 19, 2022
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, Ren Chen

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Accelerating Large Scale Real-Time GNN Inference using Channel Pruning

May 10, 2021
Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor Prasanna

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Deep Graph Neural Networks with Shallow Subgraph Samplers

Dec 02, 2020
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna, Long Jin, Andrey Malevich, Ren Chen

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Accurate, Efficient and Scalable Training of Graph Neural Networks

Oct 05, 2020
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna

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