A multi-level graph attention network with contrastive learning outperforms prior methods on knowledge-aware recommendation by improving generalization across three comparison perspectives.
Self -supervised graph learning for recommendation[C]//Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval
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Multi-Level Graph Attention Network Contrastive Learning for Knowledge-Aware Recommendation
A multi-level graph attention network with contrastive learning outperforms prior methods on knowledge-aware recommendation by improving generalization across three comparison perspectives.