Entity Tag Association Prediction Method, Device, and Computer Readable Storage Medium

    公开(公告)号:US20240419942A1

    公开(公告)日:2024-12-19

    申请号:US18713631

    申请日:2022-09-07

    Abstract: The present disclosure provides an entity tag association prediction method, device, system, and a computer readable storage medium. The method includes: determining an entity relationship network, a tag relationship network and an entity tag association network; constructing an entity similarity graph according to the entity relationship network, constructing a tag similarity graph according to the tag relationship network and the entity tag association network, and constructing an entity tag association bipartite graph according to the entity tag association network; extracting an entity feature, and constructing a tag feature according to the tag similarity graph; integrating the entity similarity graph, the tag similarity graph, and the entity tag association bipartite graph into a graph convolutional network to construct a prediction model; inputting the entity feature and the tag feature into the prediction model for training until the model converges, and outputting a prediction result of the prediction model.

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