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    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...

    Huilian Fan, Yuanchang Zhong, Guangpu Zeng, Chenhao Ge in Applied Intelligence (2022)

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    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 ...

    Huilian Fan, Yuanchang Zhong, Guangpu Zeng, Lili Sun in Applied Intelligence (2021)

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    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...

    Huilian Fan, Yuanchang Zhong, Guangpu Zeng in Applied Intelligence (2018)