Dynamic sub-graph generation method and dispute detection method based on node features and reply paths
A detection method and node technology, which is applied in complex mathematical operations, biological neural network models, data processing applications, etc., can solve the problems of model performance impact, inability to model dispute modes, inability to pay attention to the overall information of local subgraphs, etc., to improve The effect of detection performance
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[0064] This embodiment is a method for mining key local disputes for dispute detection based on a dynamic subgraph generation method, including a dynamic subgraph generation method and a local dispute mining method based on node characteristics and reply paths.
[0065] A subgraph centered on a node (eg, node i) should include local discussions related to it, which exist in the reply path of the central node i. The dynamic subgraph generation method in this embodiment first calculates the correlation between each node in the reply path and the central node i, and then truncates the path to remove irrelevant nodes. The collection of all truncated paths constitutes the subgraph corresponding to node i, which is the relevant local discussion.
[0066] Ordinary GCN models use adjacency matrix, degree matrix, and Laplacian matrix to model the interaction between nodes and first-order neighbor nodes. In this example, path matrix, path length matrix, and path Laplacian matrix are used t
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