Abstract: Highlights•Designing relation-aware attentional GCN to aggregate more fine-gained information.•Proposing KG-based UPIACM to capture user preference and item attractiveness.•Integrating gated filtering mechanism to filter out the possible impurity information.•Extensive experiments with popular state-of-the-art baselines on real-world datasets.
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