An Adaptive Federated Relevance Framework for Spatial Temporal Graph
Learning

An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning

7 June 2022

Zhishu Shen

Papers citing "An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning"

7 / 7 papers shown

Title
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs Tiehua Zhang Yuze Liu Zhishu Shen Xingjun Ma Xin Chen Xiaowei Huang Jun-Jian Yin 58 6 0 31 Dec 2024
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs Kang Wang Zhishu Shen Zhen Lei Tiehua Zhang 37 1 0 17 Apr 2024
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning Yuze Liu Ziming Zhao Tiehua Zhang Kang Wang Xin Chen Xiaowei Huang Jun-Jian Yin Zhishu Shen 11 4 0 05 Sep 2023
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks Tiehua Zhang Yuze Liu Yaohan Yao Youhua Xia Xin Chen Xiaowei Huang Jiongdao Jin 24 2 0 31 Oct 2022
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks Guannan Lou Yuze Liu Tiehua Zhang Xi Zheng FedML 68 14 0 12 Nov 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015