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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–575 of 919 papers

TitleStatusHype
Is Performance of Scholars Correlated to Their Research Collaboration Patterns?Code0
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and InteractionCode0
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding—0
Clustering in graphs and hypergraphs with categorical edge labelsCode0
Spectral CUSUM for Online Network Structure Change Detection—0
ALOHA: Artificial Learning of Human Attributes for Dialogue AgentsCode0
A Unified Framework for Tuning Hyperparameters in Clustering Problems—0
An adaptive hybrid algorithm for social networks to choose groups with independent members—0
Complex networks based word embeddings—0
A new method for quantifying network cyclic structure to improve community detection—0
Overlapping Community Detection with Graph Neural NetworksCode0
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions—0
The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection—0
Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks—0
Heterogeneous-Temporal Graph Convolutional Networks: Make the Community Detection Much Better—0
Community Detection and Improved Detectability in Multiplex Networks—0
A Multi-Strategy Approach to Overcoming Bias in Community Detection Evaluation—0
Modular structure in labour networks reveals skill basins—0
Graph-based data clustering via multiscale community detection—0
Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records—0
A new measure of modularity density for community detection—0
A Distributed Hybrid Community Detection Methodology for Social NetworksCode0
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent EstimationCode0
Agglomerative Likelihood ClusteringCode0
Improved mutual information measure for classification and community detection—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