Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks

Graph Neural Networks (GNNs) such as Graph Convolutional Networks (GCNs) can effectively learn node representations via aggregating neighbors based on the relation graph. However, despite a few exceptions, most of the previous work in this line does not consider the topical semantics underlying the...

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Veröffentlicht in:	ACM transactions on knowledge discovery from data 2023-05, Vol.17 (8), p.1-23, Article 110
Hauptverfasser:	Wu, Likang, Zhao, Hongke, Li, Zhi, Huang, Zhenya, Liu, Qi, Chen, Enhong
Format:	Artikel
Sprache:	eng
Schlagworte:	Computing methodologies Data mining Information systems Neural networks Social networks
Online-Zugang:	Volltext
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