STEC-Net uses GCNs with GRU-updated weights and temporal GRUs followed by SOM clustering to discover communities in dynamic networks and reports better performance than traditional methods on purity, NMI, homogeneity, and completeness.
In: Proceedings of the AAAI Conference on Artificial Intelligence, vol
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STEC-Net: A Spatiotemporal Graph Neural Framework for Community Discovery in Dynamic Social Networks
STEC-Net uses GCNs with GRU-updated weights and temporal GRUs followed by SOM clustering to discover communities in dynamic networks and reports better performance than traditional methods on purity, NMI, homogeneity, and completeness.