Alternatives and similar repositories for MGCN

Users that are interested in MGCN are comparing it to the libraries listed below

• yueliu1999 / SCGC
  [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".
  ☆35Updated 3 months ago
• WxTu / ITR
  IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network
  ☆13Updated last year
• gongleii / AGC-DRR
  IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction
  ☆13Updated 7 months ago
• WxTu / AMGC
  AAAI 2024-Attribute-Missing Graph Clustering Network
  ☆12Updated last year
• hyzhang98 / EGAE
  Implementation of "Embedding Graph Auto-Encoder for Graph Clustering", IEEE Transactions on Neural Networks and Learning Systems.
  ☆25Updated 3 years ago
• BUPT-GAMMA / GCIL
  Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective
  ☆25Updated last year
• CurvCluster / Congregate
  ☆11Updated 2 years ago
• XinPeng97 / TNNLS_DCLN
  Source code for the paper "Dual Contrastive Learning Network for Graph Clustering"
  ☆12Updated last year
• galogm / HoLe
  CIKM'23 - HoLe: Homophily-enhanced Structure Learning for Graph Clustering
  ☆10Updated last year
• shenxiaocam / NCLA
  Neighbor Contrastive Learning on Learnable Graph Augmentation
  ☆37Updated last year
• hzhao98 / GDCL
  Graph Debiased Contrastive Learning with Joint Representation Clustering
  ☆25Updated 2 years ago
• YwL-zhufeng / DuaLGR
  The source code for “Dual Label-Guided Graph Refinement for Multi-View Graph Clustering”
  ☆22Updated 2 years ago
• xdweixia / SCAGC
  The Pytorch implementation demo for our TMM article: Self-consistent Contrastive Attributed Graph Clustering with Pseudo-label Prompt.
  ☆15Updated 2 years ago
• Panern / MCGC
  ☆53Updated 2 years ago
• junxia97 / ProGCL
  [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
  ☆45Updated 3 years ago
• LirongWu / Homophily-Enhanced-Self-supervision
  Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"
  ☆15Updated last year
• wangtong627 / NCAGC-NeuroCom
  The Pytorch implementation of "NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering"
  ☆17Updated 10 months ago
• chakib401 / graph_convolutional_clustering
  [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering
  ☆19Updated last year
• IMKBLE / MAGCN
  ☆39Updated 4 years ago
• kaize0409 / S-3-CL
  PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)
  ☆25Updated 4 months ago
• yixinliu233 / D2PT
  [KDD'23] Learning Strong Graph Neural Networks with Weak Information
  ☆42Updated 2 years ago
• Ffffffffire / HINormer
  ☆33Updated 2 years ago
• Skyorca / OpenGDA
  (CIKM'23 resource track) Graph Domain Adaptation Benchmark for Cross-network Learning
  ☆29Updated last year
• yifeiacc / COSTA
  Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
  ☆49Updated 2 years ago
• KellyGong / SparseGAD
  ☆18Updated 2 years ago
• sckangz / MvAGC
  ☆21Updated 4 years ago
• hyzhang98 / AdaGAE
  Implementation of "Adaptive Graph Auto-Encoder for General Data Clustering", IEEE Transactions on Pattern Analysis and Machine Intelligen…
  ☆45Updated 2 years ago
• draym28 / LSGNN
  [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
  ☆17Updated 7 months ago
• ivam-he / PSHGCN
  ☆19Updated 5 months ago
• Xiaoshunxin / DFP-GNN
  Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering
  ☆16Updated 3 years ago