SOTAVerified|Agents Browse Leaderboard About

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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 761–770 of 919 papers

Title	Date	Tasks	Status	Hype
Dynamic change-point detection using similarity networks	Dec 5, 2016	Change DetectionChange Point Detection	—Unverified	0
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data	Dec 1, 2016	Community DetectionDenoising	—Unverified	0
Community Detection on Evolving Graphs	Dec 1, 2016	ClusteringCommunity Detection	—Unverified	0
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation	Dec 1, 2016	ClusteringCommunity Detection	—Unverified	0
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models	Dec 1, 2016	Community DetectionStochastic Block Model	—Unverified	0
Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters	Dec 1, 2016	Community DetectionInformation Retrieval	—Unverified	0
Non-Negative Matrix Factorizations for Multiplex Network Analysis	Dec 1, 2016	ClusteringCommunity Detection	—Unverified	0
Explicitly Linking Regional Activation and Function Connectivity: Community Structure of Weighted Networks with Continuous Annotation	Nov 23, 2016	AttributeCommunity Detection	—Unverified	0
Multiple-View Spectral Clustering for Group-wise Functional Community Detection	Nov 21, 2016	ClusteringCommunity Detection	—Unverified	0
A Semidefinite Program for Structured Blockmodels	Nov 16, 2016	Community Detection	—Unverified	0

Show:10 25 50

← PrevPage 77 of 92Next →

All datasets Amazon Cora Citeseer DBLP Facebook Artists Facebook Athletes Facebook Celebrities Facebook Companies Facebook Government Facebook Media Facebook Politicians Facebook TV Show

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	GNN	Accuracy-NE	2	—	Unverified
2	CommunityGAN	F1-score	0.09	—	Unverified
3	Ego-Splitting	F1-score	0.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EdMot	NMI	0.42	—	Unverified
2	CDNMF	NMI	0.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CDNMF	ACC	0.48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CommunityGAN	F1-Score	0.15	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Smooth GEMSEC 2	Modularity	0.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Smooth GEMSEC 2	Modularity	0.69	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Smooth GEMSEC 2	Modularity	0.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Smooth GEMSEC 2	Modularity	0.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Smooth GEMSEC 2	Modularity	0.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Smooth GEMSEC 2	Modularity	0.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Smooth GEMSEC 2	Modularity	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Smooth GEMSEC 2	Modularity	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CDNMF	ACC	0.67	—	Unverified