Community detection, aiming to group the graph nodes into clusters with dense inner-
connection, is a fundamental graph mining task. Recently, it has been studied on the …

Abstract Deep Neural Networks (DNN) based collaborative filtering has been successful in
recommending services by effectively generalizing graph-structured data. However, most …

Reciprocal recommender system (RRS), considering a two-way matching between two
parties, has been widely applied in online platforms like online dating and recruitment …

Social metaverse with VR has been viewed as a paradigm shift for social media. However,
most traditional VR social platforms ignore emerging characteristics in a metaverse, thereby …

Large-scale e-commercial platforms in the real-world usually contain various
recommendation scenarios (domains) to meet demands of diverse customer groups. Multi …

Recommender systems are pivotal in enhancing user experiences across various web
applications by analyzing the complicated relationships between users and items …

Heterogeneous graphs, which contain nodes and edges of multiple types, are prevalent in
various domains, including bibliographic networks, social media, and knowledge graphs. As …

The rapid development of web services has made it increasingly challenging for developers
to find desired web services. To address this issue, researchers have developed various …

Traditional social link prediction models primarily concentrate on the adjacency features of
the network, overlooking the rich high-order structural information within. Therefore, the …

Large-scale e-commercial platforms in the real-world usually contain various
recommendation scenarios (domains) to meet demands of diverse customer groups. Multi …