https://github.com/viz27/secomm
공식 코드Unsupervised Constrained Community Detection via Self-Expressive Graph Neural Network
Papers with Code 아카이브
Community Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/wwbrannon/congrat
공식 코드ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
https://github.com/xiaofangxd/emtnrcd
공식 코드Network Collaborator: Knowledge Transfer Between Network Reconstruction and Community Detection
https://github.com/xiaofulab/frank-wolfe-based-method-for-sd-mmv
공식 코드https://github.com/yixuanli/lemon
공식 코드https://github.com/young0313/hap
공식 코드https://github.com/zahraakhlaghi/alda4rec
공식 코드Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation
https://github.com/zcablii/master_cancer_project
공식 코드Genetic Analysis of Prostate Cancer with Computer Science Methods
https://github.com/zekarias-tilahun/GAP
공식 코드https://github.com/zekarias-tilahun/goat
공식 코드Gossip and Attend: Context-Sensitive Graph Representation Learning
https://github.com/zf-wei/Robustness-of-Graph-Embeddings-for-Community-Detection
공식 코드Robustness of graph embedding methods for community detection
https://github.com/zhengdao-chen/GNN4CD
공식 코드Supervised Community Detection with Line Graph Neural Networks
https://github.com/zhiqiangzhongddu/hc-gnn
공식 코드https://github.com/zjg540066169/TMOGA
공식 코드Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community Detection
https://gitlab.com/mipl/graph-learning-network
공식 코드https://gitlab.lip6.fr/baudin/cpm-cpmz
공식 코드Clique percolation method: memory efficient almost exact communities
https://gitlab.lip6.fr/baudin/lscpm
공식 코드LSCPM: communities in massive real-world Link Streams by Clique Percolation Method
https://github.com/2023-MindSpore-4/Code5/tree/main/sparcode
https://github.com/AbinavRavi/Network_Analysis_Eur_Parl
https://github.com/Arda-Bati/Reddit-Hyperlinks-Conflict-Prediction
https://github.com/GamesResearchTUG/HiCode
https://github.com/GraphResearcher/HyGCL-DC
https://github.com/JHL-HUST/HiCode
https://github.com/JherezTaylor/hatespeech_codewords
https://github.com/MohammadHeydari/ResearchGate
https://github.com/TrustAIRLab/Comprehensive_Jailbreak_Assessment
https://github.com/aaamini/SBM-SDP
https://github.com/abasak24/ece594Neuromorphic
Community detection with spiking neural networks for neuromorphic hardware
https://github.com/afansi/multiscalegnn
Supervised Community Detection with Line Graph Neural Networks
https://github.com/akhil451/reflection_removal
https://github.com/alexander-belyi/gnns
Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection
https://github.com/anon767/CayleyNet
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
https://github.com/benedekrozemberczki/EgoSplitting
https://github.com/benedekrozemberczki/littleballoffur
https://github.com/celehs/mvBSC
Multi-view Banded Spectral Clustering with Application to ICD9 Clustering
https://github.com/cran/DynComm
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.