中国科学院计算技术研究所机构知识库

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发表日期：2022

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	Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10 作者:  Du, Wei;  Ding, Shifei;  Zhang, Chenglong;  Shi, Zhongzhi 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 Reinforcement learning  Multi-agent systems  Aggregates  Task analysis  Scalability  Marine vehicles  Learning systems  Graph attention network  heterogeneous agents  multiagent reinforcement learning (MARL)  relationship-level attention
	HIRE: Distilling high-order relational knowledge from heterogeneous graph neural networks 期刊论文 NEUROCOMPUTING, 2022, 卷号: 507, 页码: 67-83 作者:  Liu, Jing;  Zheng, Tongya;  Hao, Qinfen 收藏  |  浏览/下载：12/0  |  提交时间：2023/07/12 Graph embedding  Heterogeneous graph  Graph neural networks  Knowledge distillation
	Characterizing and Understanding HGNNs on GPUs 期刊论文 IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 2, 页码: 69-72 作者:  Yan, Mingyu;  Zou, Mo;  Yang, Xiaocheng;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui;  Xie, Yuan 收藏  |  浏览/下载：25/0  |  提交时间：2022/12/07 Kernel  Semantics  Aggregates  Mercury (metals)  Motion pictures  Graphics processing units  Electric breakdown  Heterogeneous graph neural networks  GNNs  characterization  execution semantic  execution pattern
	R-CTM: A data-driven macroscopic simulation model for heterogeneous traffic 期刊论文 COMPUTER ANIMATION AND VIRTUAL WORLDS, 2022, 页码: 11 作者:  Liu, Jingyao;  Deng, Zhigang;  Mao, Tianlu;  Wang, Zhaoqi 收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07 cell transmission models  heterogeneous traffic flow  macroscopic traffic modeling  recurrent neural networks
	Multimodal graph neural network for video procedural captioning 期刊论文 NEUROCOMPUTING, 2022, 卷号: 488, 页码: 88-96 作者:  Ji, Lei;  Tu, Rongcheng;  Lin, Kevin;  Wang, Lijuan;  Duan, Nan 收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07 Multimodal video captioning  Graph neural network
	An Automated Quantization Framework for High-Utilization RRAM-Based PIM 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 3, 页码: 583-596 作者:  Li, Bing;  Qu, Songyun;  Wang, Ying 收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07 Quantization (signal)  Neural networks  Computational modeling  Data models  Hardware  Resource management  Arrays  AutoML  neural network  processing-in-memory (PIM)  quantization  resistive memory (RRAM)