Community Detection
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Benchmarks
Amazon
Cora
Citeseer
DBLP
Facebook Artists
Facebook Athletes
Facebook Celebrities
Facebook Companies
Facebook Government
Facebook Media
Facebook Politicians
Facebook TV Show
Pubmed
Twitter-HyDrug
Most implemented
Community detection in networks: A user guide
Agglomerative Likelihood Clustering
Fast Sequence-Based Embedding with Diffusion Graphs
Supervised Community Detection with Line Graph Neural Networks
Hidden Community Detection in Social Networks
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
Papers
Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling
This work focuses on the problem of learning on temporal graphs, with particular emphasis on the task of clustering: obtaining coarse-grained representations by aggregating information from nodes, edges, and temporal dyn…
Community DetectionGraph LearningAccelerating 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. Built on the NVIDIA RAPIDS eco…
Community DetectionGraph ClusteringRegularized Optimization on Grassmann Manifold: Theory, Algorithm and Applications
Spectral methods are among the most widely used techniques for community detection, clustering, and graph learning. Their performance, however, critically depends on the accurate estimation of the underlying spectral sub…
Community DetectionGraph LearningTransient State Reorganization and Cell Differentiation in the Developmental Dynamics of Growing Neural Cellular Automata
Growing Neural Cellular Automata (GNCA) develop complex morphologies from a single seed cell through shared local rules, yet the internal dynamics of this process remain poorly understood. To investigate how GNCA grows, …
Community DetectionRAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM
Graph retrieval-augmented generation (GraphRAG) enhances large language models with structured knowledge, yet existing systems construct knowledge graphs in a single extraction pass, producing noisy entities and brittle …
Community DetectionKnowledge GraphsConceptual Networks for Cross-Linguistic Idiomatic Expressions:A Feature-Based Graph Approach
We present an interpretable network-based framework for representing idiomatic and figurative meaning across eight typologically diverse languages, totaling 160 conventional expressions, the large majority of which are i…
Cross-Lingual TransferCommunity Detection