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 326–350 of 919 papers

TitleStatusHype
Clique percolation method: memory efficient almost exact communitiesCode0
Sentiment and structure in word co-occurrence networks on Twitter—0
Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community DetectionCode1
A useful criterion on studying consistent estimation in community detection—0
Chaining Data - A Novel Paradigm in Artificial Intelligence Exemplified with NMF based Clustering—0
Quantifying the Controllability of Coarsely Characterized Networked Dynamical Systems—0
LEARNING GUARANTEES FOR GRAPH CONVOLUTIONAL NETWORKS ON THE STOCHASTIC BLOCK MODEL—0
A Deep Latent Space Model for Directed Graph Representation Learning—0
Joint Content-Context Analysis of Scientific Publications: Identifying Opportunities for Collaboration in Cognitive Science—0
Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe ApproachCode0
Community detection for weighted bipartite networks—0
Reconstruction on Trees and Low-Degree Polynomials—0
Popularity Adjusted Block Models are Generalized Random Dot Product GraphsCode0
ABCDE: Approximating Betweenness-Centrality ranking with progressive-DropEdgeCode0
Providing an Approach to Predicting Customer Quality in E-Commerce Social Networks Based on Big Data and Unsupervised Learning Method—0
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network ModelCode1
Community Detection in Cryptocurrencies with Potential Applications to Portfolio Diversification—0
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion—0
SamBaS: Sampling-Based Stochastic Block Partitioning—0
A Random Matrix Perspective on Random Tensors—0
A Framework for Multi-View Classification of Features—0
Data-driven Clustering in Ad-hoc Networks based on Community Detection—0
BigGraphVis: Leveraging Streaming Algorithms and GPU Acceleration for Visualizing Big Graphs—0
International Trade Network: Country centrality and COVID-19 pandemic—0
Scalable Community Detection via Parallel Correlation ClusteringCode0
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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