Articles with "structural reinforcement" as a keyword



Structural reinforcement-based graph convolutional networks

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Published in 2022 at "Connection Science"

DOI: 10.1080/09540091.2022.2151977

Abstract: Graph Convolutional Network (GCN) is a tool for feature extraction, learning, and inference on graph data, widely applied in numerous scenarios. Despite the great success of GCN, it performs weakly under some application conditions, such… read more here.

Keywords: graph convolutional; reinforcement based; convolutional networks; structural reinforcement ... See more keywords