中国科学院计算技术研究所机构知识库

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	SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2025, 卷号: 44, 期号: 9, 页码: 3490-3503 作者:  Xue, Runzhen;  Yan, Mingyu;  Han, Dengke;  Xiao, Ziheng;  Tang, Zhimin;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Semantics  Layout  Graph neural networks  Optimization  Vectors  Graphics processing units  Feature extraction  Design automation  Training  Hardware acceleration  Graph neural network (GNN)  hardware accelerator  heterogeneous graph neural network (HGNN)  semantic graph
	Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2025, 卷号: 37, 期号: 7, 页码: 4225-4238 作者:  Liu, Xin;  Zhang, Yuxiang;  Wu, Meng;  Yan, Mingyu;  He, Kun;  Yan, Wei;  Pan, Shirui;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Perturbation methods  Graph neural networks  Image edge detection  Data augmentation  Accuracy  Training  Measurement  Optimization  Detectors  World Wide Web  Edge perturbation  graph neural network  graph data augmentation  graph data attack
	Characterizing and Understanding HGNN Training on GPUs 期刊论文 ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2025, 卷号: 22, 期号: 1, 页码: 25 作者:  Han, Dengke;  Yan, Mingyu;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：18/0  |  提交时间：2025/06/25 Heterogeneous graph neural networks  graph neural networks training  characterization  quantitative analysis  optimization guidelines
	Characterizing and Understanding Defense Methods for GNNs on GPUs 期刊论文 IEEE COMPUTER ARCHITECTURE LETTERS, 2023, 卷号: 22, 期号: 2, 页码: 137-140 作者:  Wu, Meng;  Yan, Mingyu;  Yang, Xiaocheng;  Li, Wenming;  Zhang, Zhimin;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：56/0  |  提交时间：2023/12/04 Kernel  Purification  Estimation  Graphics processing units  Perturbation methods  Electric breakdown  Training  Graph neural networks  defense  execution semantic  execution pattern  overhead
	Multi-Node Acceleration for Large-Scale GCNs 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3140-3152 作者:  Sun, Gongjian;  Yan, Mingyu;  Wang, Duo;  Li, Han;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui;  Xie, Yuan 收藏  |  浏览/下载：80/0  |  提交时间：2023/07/12 Deep learning  graph neural network  hardware accelerator  multi-node system  communication optimization