Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph
This work addresses community detection in temporal networks through GPU-accelerated extensions of spectral clustering and modularity-based algorithms originally designed for static graphs, and demonstrates its applicability on real-world and synthetic datasets, facilitating exploratory analysis of structural network p...