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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://github.com/adalbertocq/histomorphological-phenotype-learning

공식 코드

Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides

https://github.com/ahmed-khaled-saleh/fmtl-graph

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Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach

https://github.com/alanxuji/faithpdp

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Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System

https://github.com/alge24/DyGNN

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Streaming Graph Neural Networks

https://github.com/amazon-research/gcp-with-gnns-example

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Graph Coloring with Physics-Inspired Graph Neural Networks

https://github.com/amoliu/CayleyNet

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CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters

https://github.com/anniran1/hacd1-wsdm

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HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection

https://github.com/anthonimes/superpixels-community-detection

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Superpixels algorithms through network community detection

https://github.com/aponom84/lpam-clustering

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Overlapping community detection in networks based on link partitioning and partitioning around medoids

https://github.com/arash-dehghan/EmbeddingComplexNetworks

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Evaluating Node Embeddings of Complex Networks

https://github.com/aripakman/amortized_community_detection

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Amortized Probabilistic Detection of Communities in Graphs

https://github.com/aripakman/attentive_clustering_processes

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Amortized Probabilistic Detection of Communities in Graphs

https://github.com/arseniionuchin/worm_clusterization

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Perspectives and constraints on neural network models of neurobiological processes

https://github.com/arthurion98/KSBM-path-signatures

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Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures

https://github.com/asaborn/genericmultitasking

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Machine-Learning Based Objective Function Selection for Community Detection

https://github.com/astolman/snlpy

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Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling

https://github.com/aufinal/hsbm

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Sparse random hypergraphs: Non-backtracking spectra and community detection

https://github.com/badalyananna/hycosbm

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Structure and inference in hypergraphs with node attributes

https://github.com/barahona-research-group/LGDE

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LGDE: Local Graph-based Dictionary Expansion

https://github.com/bd-if/facemap

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FaceMap: Towards Unsupervised Face Clustering via Map Equation

https://github.com/benedekrozemberczki/datasets

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Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs

https://github.com/benedekrozemberczki/diff2vec

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Fast Sequence-Based Embedding with Diffusion Graphs

https://github.com/benedekrozemberczki/karateclub

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Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs

https://github.com/bioannidis/Coupled_tensors_graphs

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Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection

https://github.com/bkamins/ABCDGraphGenerator.jl

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Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community Structure

https://github.com/boweiYan/SDP_SBM_unbalanced_size

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Covariate Regularized Community Detection in Sparse Graphs

https://github.com/buet-gd/Deep-DynaResGCN-community

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Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCN

https://github.com/chrisbloecker/neuromap

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The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks

https://github.com/copenlu/spanex

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Explaining Interactions Between Text Spans

https://github.com/cshen6/graphemd

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Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection

https://github.com/danieledurante/ESBM

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Extended Stochastic Block Models with Application to Criminal Networks

https://github.com/danielgribel/AssortativeSBM

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Assortative-Constrained Stochastic Block Models

https://github.com/dayuhuu/scunc

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Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters

https://github.com/desilanja/tas-com

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Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion

https://github.com/dl-wg/gcn-lstm-wildfire

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Explainable Global Wildfire Prediction Models using Graph Neural Networks

https://github.com/dosonleung/fasttog

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Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph

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