Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks

7 Feb 2020Ziqing YangShoudong HanJun Zhao

Graph convolutional network (GCN) is now an effective tool to deal with non-Euclidean data, such as social networks in social behavior analysis, molecular structure analysis in the field of chemistry, and skeleton-based action recognition. Graph convolutional kernel is one of the most significant factors in GCN to extract nodes' feature, and some improvements of it have reached promising performance theoretically and experimentally... (read more)

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