Multi-Behavior Enhanced Heterogeneous Graph Convolutional Networks Recommendation Algorithm based on Feature-Interaction

Graph convolution neural networks have shown powerful ability in recommendation, thanks to extracting the user-item collaboration signal from users' historical interaction information. However, many existing studies often learn the final embedded representation of items and users through IDs of...

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Vydané v:	Applied artificial intelligence Ročník 37; číslo 1
Hlavní autori:	Li, Yang, Zhao, Fangtao, Chen, Zheng, Fu, Yingxun, Ma, Li
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Philadelphia Taylor & Francis 31.12.2023 Taylor & Francis Ltd Taylor & Francis Group
Predmet:	Algorithms Artificial neural networks Embedding Graph neural networks Neural networks Representations
ISSN:	0883-9514, 1087-6545
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