Simple and Deep Graph Convolutional Networks

International Conference on Machine Learning 2020 Ming ChenZhewei WeiZengfeng HuangBolin DingYaliang Li

Graph convolutional networks (GCNs) are a powerful deep learning approach for graph-structured data. Recently, GCNs and subsequent variants have shown superior performance in various application areas on real-world datasets... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper