STEC-Net combines GCNs with GRU-updated weights and temporal GRUs plus SOM clustering to discover communities in dynamic networks and reports better purity, NMI, homogeneity and completeness than traditional methods on four network types.
Journal of Statistical Mechanics: Theory and Experiment 21(10), 10008–10020 (2023)
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STEC-Net: A Spatiotemporal Graph Neural Framework for Community Discovery in Dynamic Social Networks
STEC-Net combines GCNs with GRU-updated weights and temporal GRUs plus SOM clustering to discover communities in dynamic networks and reports better purity, NMI, homogeneity and completeness than traditional methods on four network types.