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  1. No Access

    Article

    Correlation embedding learning with dynamic semantic enhanced sampling for knowledge graph completion

    Knowledge graph completion aims to solve the problem of incompleteness and sparsity in knowledge graphs. However, the negative sampling strategy in current completion methods samples entities with equal probab...

    Haojie Nie, **angguo Zhao, **n Bi, Yuliang Ma, George Y. Yuan in World Wide Web (2023)

  2. No Access

    Article

    Structure-adaptive graph neural network with temporal representation and residual connections

    Graph learning methods have boosted brain analysis for user healthcare, disease detection, and behavioral modeling. Spatially separated brain regions are functionally connected with different weights, enabling...

    **n Bi, Qingling Jiang, Zhixun Liu, **n Yao, Haojie Nie, George Y. Yuan… in World Wide Web (2023)

  3. Article

    An efficient privacy-preserving blockchain storage method for internet of things environment

    Blockchain is a key technology to realize decentralized trust management. In recent studies, sharding-based blockchain models are proposed and applied to the resource-constrained Internet of Things (IoT) scena...

    Dayu Jia, Guanghong Yang, Min Huang, Junchang **n, Guoren Wang… in World Wide Web (2023)

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    Article

    Example query on ontology-labels knowledge graph based on filter-refine strategy

    The query processing on knowledge graphs has attracted significant attention in the past years. Different from the traditional query processing on knowledge graphs, the example query method can capture the use...

    Linlin Ding, Sisi Li, Mo Li, Ze Chen, Hanlin Zhang, Hao Luo… in World Wide Web (2023)