awesome-community-detection
Explore a curated collection of advanced community detection research papers, covering diverse methods such as matrix factorization, deep learning, and spectral analysis. This resource offers comprehensive chapters on techniques like label propagation and cyclic patterns, relevant to fields including graph classification and fraud detection. Ideal for both researchers and practitioners, it provides insights into models like centrality and block models, and discusses the latest developments in hypergraphs and physics-inspired methods.
