SHNE: Semantics and Homophily Preserving Network Embedding.
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DOI: 10.1109/tnnls.2021.3116936
Abstract: Graph convolutional networks (GCNs) have achieved great success in many applications and have caught significant attention in both academic and industrial domains. However, repeatedly employing graph convolutional layers would render the node embeddings indistinguishable. For… read more here.
Keywords: homophily preserving; network embedding; semantics; semantics homophily ... See more keywords