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Incorporating Higher-order Structural Information for Graph Clustering
In recent years, graph convolutional network (GCN) has emerged as a powerful tool for deep clustering, integrating both graph structural information and node attributes.
Modeling Multi-aspect Preferences and Intents for Multi-behavioral Sequential Recommendation
To extract multi-aspect preferences from target behaviors, we propose a multi-aspect projection mechanism for generating multiple preference representations from multiple aspects.
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