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Collaboration-Aware Graph Convolutional Network for Recommender Systems
[article]
2022
arXiv
pre-print
Graph Neural Networks (GNNs) have been successfully adopted in recommender systems by virtue of the message-passing that implicitly captures collaborative effect. Nevertheless, most of the existing message-passing mechanisms for recommendation are directly inherited from GNNs without scrutinizing whether the captured collaborative effect would benefit the prediction of user preferences. In this paper, we first analyze how message-passing captures the collaborative effect and propose a
arXiv:2207.06221v2
fatcat:qmbinqc6z5hyxpsdp5zzvaxd3m