Scalable dynamic community detection on temporal graphs using graph neural networks
This work formulate dynamic community detection over observed node-time instances, where each node-time instance in the temporal interaction stream is assigned a cluster label and proposes a diffusion-guided contrastive learning framework that uses a local temporal diffusion affinity matrix to construct positive and ne...