MLSP-L3: Graph Neural Networks I
Tue, 16 Apr, 13:10 - 15:10 (UTC +9)
Location: Room E2
Session Type: Lecture
Session Co-Chairs: Che Lin, National Taiwan University and Claudio Battiloro, Harvard University/Sapienza University of Rome
Track: Machine Learning for Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
Tue, 16 Apr, 13:10 - 13:30 (UTC +9)
MLSP-L3.1: DGLP: INCORPORATING ORIENTATION INFORMATION FOR ENHANCED LINK PREDICTION IN DIRECTED GRAPHS
Tue, 16 Apr, 13:30 - 13:50 (UTC +9)
MLSP-L3.2: GRAPH NEURAL NETWORKS ARE MORE POWERFUL THAN WE THINK
Tue, 16 Apr, 13:50 - 14:10 (UTC +9)
MLSP-L3.3: STABILITY OF GRAPH CONVOLUTIONAL NEURAL NETWORKS THROUGH THE LENS OF SMALL PERTURBATION ANALYSIS
Tue, 16 Apr, 14:10 - 14:30 (UTC +9)
MLSP-L3.4: HYPERGRAPH TRANSFORMER FOR SEMI-SUPERVISED CLASSIFICATION
Tue, 16 Apr, 14:30 - 14:50 (UTC +9)
MLSP-L3.5: ADAPTIVE ORDER AGGREGATOR AND EXTRACTOR GRAPH NEURAL NETWORK
Tue, 16 Apr, 14:50 - 15:10 (UTC +9)