Graph Isomorphism and Hybrid-Order Residual Gated Graph Neural Network for Session-Based Recommendation

Session-based recommendation aims to predict which item will be clicked next for the current session. Aiming at the shortcomings of existing session recommendation models based on graph neural network, this paper proposes a model named graph isomorphism and hybrid-order residual gated graph neural n...

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Detalhes bibliográficos

Autor principal:	WANG Yonggui, YU Qi
Formato:	Artigo
Idioma:	Chinês
Publicado em:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2025-02-01
coleção:	Jisuanji kexue yu tansuo
Assuntos:	session recommendation; graph isomorphic network; hybrid-order residual gated graph neural network; contrastive learning
Acesso em linha:	http://fcst.ceaj.org/fileup/1673-9418/PDF/2401029.pdf
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