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A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution

Detecting community structure is an important research topic in complex network analysis. How to improve community detection results by using various features in the network is a very challenging problem. The scale-free and attributes of nodes are …

Hierarchical Multi-view Attention for Neural Review-Based Recommendation

Many E-commerce platforms allow users to write their opinions towards products, and these reviews contain rich semantic information for users and items. Hence review analysis has been widely used in recommendation systems. However, most existing …