MIGAN: Mutual-Interaction Graph Attention Network for Collaborative Filtering

MIGAN: Mutual-Interaction Graph Attention Network for Collaborative Filtering

Many web platforms now include recommender systems. Network representation learning has been a successful approach for building these efficient recommender systems. However, learning the mutual influence of nodes in the network is challenging. Indeed, it carries collaborative signals accounting for...

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Bibliographic Details
Main Authors: Ahlem Drif, Hocine Cherifi
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Entropy
Subjects:
recommender systems
mutual influence
graph attention network
self-supervised
collaborative filtering
Online Access:https://www.mdpi.com/1099-4300/24/8/1084

Internet

https://www.mdpi.com/1099-4300/24/8/1084

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