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Community Detection

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하위 태스크: 3
평가표: 14
보존된 평가 기록: 17

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/guokan_shang/abscomm

공식 코드

Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding

https://git.skewed.de/count0/graph-tool

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Hierarchical Block Structures and High-resolution Model Selection in Large Networks

https://github.com/23Uday/Subspace-Clustering-based-analysis-of-Neural-Networks

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Subspace Clustering Based Analysis of Neural Networks

https://github.com/6lyc/cdnmf

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Contrastive Deep Nonnegative Matrix Factorization for Community Detection

https://github.com/AGhasemian/CommunityFitNet

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Evaluating Overfit and Underfit in Models of Network Community Structure

https://github.com/AndreasLF/HowLowCanYouGo

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How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings

https://github.com/CRIPAC-DIG/GraphAIR

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GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction

https://github.com/CompNet/ExtMeasEval

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Characterizing and comparing external measures for the assessment of cluster analysis and community detection

https://github.com/CompNet/Ganetto

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Qualitative Comparison of Community Detection Algorithms

https://github.com/CongM/sbm-cov

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On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates

https://github.com/DimBer/ASE-project

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Node Embedding with Adaptive Similarities for Scalable Learning over Graphs

https://github.com/FFrankyy/DrBC

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Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach

https://github.com/FanzhenLiu/Awesome-Deep-Community-Detection

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Deep Learning for Community Detection: Progress, Challenges and Opportunities

https://github.com/FurongHuang/Fast-Detection-of-Overlapping-Communities-via-Online-Tensor-Methods

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Online Tensor Methods for Learning Latent Variable Models

https://github.com/GeoDS/Region2vec

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Region2Vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial Interactions

https://github.com/IdeasLabUT/CHIP-Network-Model

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CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation

https://github.com/Ivanopolo/modnet

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Unsupervised Community Detection with Modularity-Based Attention Model

https://github.com/IxandraAchitouv/CDA_NLPCA

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Testing network clustering algorithms with Natural Language Processing

https://github.com/JHL-HUST/IBCLN

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Single Image Reflection Removal through Cascaded Refinement

https://github.com/JiaxuanYou/P-GNN

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Position-aware Graph Neural Networks

https://github.com/Kalashi-Saed-Collaborations/SentimentDrivenCommunityDetection

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Sentiment-Driven Community Detection in a Network of Perfume Preferences

https://github.com/KrainskiL/CGE.jl

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Evaluating Node Embeddings of Complex Networks

https://github.com/KunHe2015/HiCode

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Hidden Community Detection in Social Networks

https://github.com/LPioL/MultiVERSE

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MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach

https://github.com/MengLiuPurdue/SLQ

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Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering

https://github.com/NaGho/Community-Detection-From-Coarse-Measured-Graphs

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Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model

https://github.com/PhilChodrow/HypergraphModularity

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Generative hypergraph clustering: from blockmodels to modularity

https://github.com/RManLuo/CP-GNN

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Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model

https://github.com/RayyanRiaz/vecoder

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Variational Embeddings for Community Detection and Node Representation

https://github.com/SamJia/CommunityGAN

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CommunityGAN: Community Detection with Generative Adversarial Nets

https://github.com/SkBlaz/SCD

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Embedding-based Silhouette Community Detection

https://github.com/Vachik-Dave/Neural-Brane-Neural-Bayesian-Personalized-Ranking-for-Attributed-Network-Embedding

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Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding

https://github.com/WangJiangzhou/Fast-Network-Community-Detection-with-Profile-Pseudo-Likelihood-Methods

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Fast Network Community Detection with Profile-Pseudo Likelihood Methods

https://github.com/Wangya1996/Two-way-Node-Popularity-Model

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Two-way Node Popularity Model for Directed and Bipartite Networks

https://github.com/aaamini/bcdc

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Bayesian community detection for networks with covariates

https://github.com/aaamini/hsbm

공식 코드

Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.