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Relation Representation Learning Via Signed Graph Mutual Information Maximization for Trust Prediction
2021
Symmetry
Trust prediction is essential to enhancing reliability and reducing risk from the unreliable node, especially for online applications in open network environments. An essential fact in trust prediction is to measure the relation of both the interacting entities accurately. However, most of the existing methods infer the trust relation between interacting entities usually rely on modeling the similarity between nodes on a graph and ignore semantic relation and the influence of negative links
doi:10.3390/sym13010115
fatcat:7fhxnc6dnbf2vha5lcvndclvtq