graph convolutional networks

Beyond low-pass filtering: Graph convolutional networks with automatic filtering

Graph convolutional networks are becoming indispensable for deep learning from graph-structured data. Most of the existing graph …

Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang

TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting

This paper aims to unify spatial dependency and temporal dependency in a non-Euclidean space while capturing the inner spatial-temporal …

Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis