Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation

Graph Neural Networks (GNNs) have been emerging as a promising method for relational representation including recommender systems. However, various challenging issues of social graphs hinder the practical usage of GNNs for social recommendation, such as their complex noisy connections and high heter...

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Veröffentlicht in:	arXiv.org 2019-07
Hauptverfasser:	Kyung-Min, Kim, Kwak, Donghyun, Kwak, Hanock, Young-Jin, Park, Sim, Sangkwon, Jae-Han, Cho, Kim, Minkyu, Kwon, Jihun, Nako Sung, Jung-Woo, Ha
Format:	Artikel
Sprache:	eng
Schlagworte:	Complexity Graph neural networks Graph theory Graphical representations Nodes Propagation Recommender systems Search engines
Online-Zugang:	Volltext
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