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Article
Improving recommender system via knowledge graph based exploring user preference
Knowledge graph(KG) has proven to improve recommendation performance. However, most efforts explore inter-entity relatedness by mining multi-hop relations on KG, thus failing to efficiently exploit these relat...
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Article
Attributed network representation learning via improved graph attention with robust negative sampling
Attributed network representation learning is to embed graphs in low dimensional vector space such that the embedded vectors follow the differences and similarities of the source graphs. To capture structural ...
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Article
Overlap** community detection based on discrete biogeography optimization
Community detection can be used to help mine the potential information in social networks, and uncovering community structures in social networks can be regarded as clustering optimization problems. In this pa...