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Xiaochun Ye

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Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack

Mar 10, 2024
Xin Liu, Yuxiang Zhang, Meng Wu, Mingyu Yan, Kun He, Wei Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan

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A Comprehensive Survey on Distributed Training of Graph Neural Networks

Nov 11, 2022
Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, Yuan Xie

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Rethinking Efficiency and Redundancy in Training Large-scale Graphs

Sep 02, 2022
Xin Liu, Xunbin Xiong, Mingyu Yan, Runzhen Xue, Shirui Pan, Xiaochun Ye, Dongrui Fan

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Simple and Efficient Heterogeneous Graph Neural Network

Jul 06, 2022
Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan

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Characterizing and Understanding Distributed GNN Training on GPUs

Apr 18, 2022
Haiyang Lin, Mingyu Yan, Xiaocheng Yang, Mo Zou, Wenming Li, Xiaochun Ye, Dongrui Fan

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Survey on Graph Neural Network Acceleration: An Algorithmic Perspective

Feb 10, 2022
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie

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GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware

Aug 26, 2021
Xin Liu, Mingyu Yan, Shuhan Song, Zhengyang Lv, Wenming Li, Guangyu Sun, Xiaochun Ye, Dongrui Fan

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Tackling Variabilities in Autonomous Driving

Apr 21, 2021
Yuqiong Qi, Yang Hu, Haibin Wu, Shen Li, Haiyu Mao, Xiaochun Ye, Dongrui Fan, Ninghui Sun

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Sampling methods for efficient training of graph convolutional networks: A survey

Mar 10, 2021
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan

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