DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation.
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DOI: 10.1109/tcyb.2020.2988791
Abstract: Recent interests in graph neural networks (GNNs) have received increasing concerns due to their superior ability in the network embedding field. The GNNs typically follow a message passing scheme and represent nodes by aggregating features… read more here.
Keywords: receptive fields; aggregation; graph convolutional; network ... See more keywords