MLSP-L3.6
MERG: Multi-dimensional Edge Representation Generation Layer for Graph Neural Networks
Yuxin Song, Baidu, China; Cheng Luo, Shenzhen University, China; Aaron Jackson, Dundee University, United Kingdom of Great Britain and Northern Ireland; Xi Jia, University of Birmingham, United Kingdom of Great Britain and Northern Ireland; Weicheng Xie, Linlin Shen, Shenzhen University, China; Hatice Gunes, University of Cambridge, United Kingdom of Great Britain and Northern Ireland; Siyang Song, University of Leicester / University of Cambridge, United Kingdom of Great Britain and Northern Ireland
Session:
MLSP-L3: Graph Neural Networks I Lecture
Track:
Machine Learning for Signal Processing
Location:
Room E2
Presentation Time:
Tue, 16 Apr, 14:50 - 15:10 (UTC +9)
Session Co-Chairs:
Che Lin, National Taiwan University and Claudio Battiloro, Harvard University/Sapienza University of Rome
Session MLSP-L3
MLSP-L3.1: DGLP: INCORPORATING ORIENTATION INFORMATION FOR ENHANCED LINK PREDICTION IN DIRECTED GRAPHS
Yusen Zhang, Yusong Tan, Songlei Jian, Qingbo Wu, National University of Defense Technology, China; Kenli Li, Hunan University, China
MLSP-L3.2: GRAPH NEURAL NETWORKS ARE MORE POWERFUL THAN WE THINK
Charilaos Kanatsoulis, Alejandro Ribeiro, University of Pennsylvania, United States of America
MLSP-L3.3: STABILITY OF GRAPH CONVOLUTIONAL NEURAL NETWORKS THROUGH THE LENS OF SMALL PERTURBATION ANALYSIS
Lucia Testa, Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa, Sapienza University of Rome, Italy
MLSP-L3.4: HYPERGRAPH TRANSFORMER FOR SEMI-SUPERVISED CLASSIFICATION
Zexi Liu, Shanghai Jiao Tong University, China; Bohan Tang, University of Oxford, United Kingdom of Great Britain and Northern Ireland; Ziyuan Ye, The Hong Kong Polytechnic University, Hong Kong; Xiaowen Dong, University of Oxford, United Kingdom of Great Britain and Northern Ireland; Siheng Chen, Yanfeng Wang, Shanghai Jiao Tong University, China
MLSP-L3.5: ADAPTIVE ORDER AGGREGATOR AND EXTRACTOR GRAPH NEURAL NETWORK
Ling Guo, Guoguo Ai, Hui Yan, School of Computer Science and Engineering, Nanjing University of Science and Technology, China
MLSP-L3.6: MERG: Multi-dimensional Edge Representation Generation Layer for Graph Neural Networks
Yuxin Song, Baidu, China; Cheng Luo, Shenzhen University, China; Aaron Jackson, Dundee University, United Kingdom of Great Britain and Northern Ireland; Xi Jia, University of Birmingham, United Kingdom of Great Britain and Northern Ireland; Weicheng Xie, Linlin Shen, Shenzhen University, China; Hatice Gunes, University of Cambridge, United Kingdom of Great Britain and Northern Ireland; Siyang Song, University of Leicester / University of Cambridge, United Kingdom of Great Britain and Northern Ireland
Contacts