SOTAVerified

Community Detection

Community Detection is one of the fundamental problems in network analysis, where the goal is to find groups of nodes that are, in some sense, more similar to each other than to the other nodes.

Source: Randomized Spectral Clustering in Large-Scale Stochastic Block Models

Papers

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Showing 551–575 of 919 papers

TitleStatusHype
Semi-supervised learning in unbalanced and heterogeneous networks—0
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks—0
Sentence Packaging in Text Generation from Semantic Graphs as a Community Detection Problem—0
Sentiment and structure in word co-occurrence networks on Twitter—0
Sequential Changepoint Approach for Online Community Detection—0
Session-based Suggestion of Topics for Geographic Exploratory Search—0
ShapeVis: High-dimensional Data Visualization at Scale—0
SHyPar: A Spectral Coarsening Approach to Hypergraph Partitioning—0
Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models—0
Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy—0
Signed Network Embedding with Application to Simultaneous Detection of Communities and Anomalies—0
Distributed Representations of Signed Networks—0
Simplex2Vec embeddings for community detection in simplicial complexes—0
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective—0
Simultaneous Identification of Sparse Structures and Communities in Heterogeneous Graphical Models—0
Sketch-based community detection in evolving networks—0
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations—0
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding—0
Spectral Algorithms for Community Detection in Directed Networks—0
Spectral Algorithms Optimally Recover Planted Sub-structures—0
Spectral and matrix factorization methods for consistent community detection in multi-layer networks—0
Spectral clustering via adaptive layer aggregation for multi-layer networks—0
Spectral community detection in heterogeneous large networks—0
Spectral Detection in the Censored Block Model—0
Spectral Inference Methods on Sparse Graphs: Theory and Applications—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GNNAccuracy-NE2—Unverified
2CommunityGANF1-score0.09—Unverified
3Ego-SplittingF1-score0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1EdMotNMI0.42—Unverified
2CDNMFNMI0.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.48—Unverified
#ModelMetricClaimedVerifiedStatus
1CommunityGANF1-Score0.15—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.69—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.68—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.71—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.67—Unverified