Alternatives and similar repositories for GDCL:

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

• CurvCluster / Congregate
  ☆11Updated last year
• gongleii / AGC-DRR
  IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction
  ☆13Updated 4 months ago
• yifeiacc / COSTA
  Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
  ☆49Updated last year
• BUPT-GAMMA / CuCo
  source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"
  ☆26Updated 3 years ago
• Panern / MCGC
  ☆52Updated 2 years ago
• junxia97 / ProGCL
  [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
  ☆45Updated 2 years ago
• WxTu / ITR
  IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network
  ☆13Updated last year
• LirongWu / GraphMixup
  Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…
  ☆23Updated last year
• zhoushengisnoob / CKD
  Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
  ☆16Updated 3 years ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆43Updated 2 years ago
• nairouz / FT-VGAE
  IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering
  ☆21Updated last year
• yueliu1999 / SCGC
  [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".
  ☆32Updated 3 weeks ago
• blacksingular / wsdm_GDN
  [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…
  ☆20Updated last year
• shenxiaocam / NCLA
  Neighbor Contrastive Learning on Learnable Graph Augmentation
  ☆35Updated 9 months ago
• WxTu / DFCN
  AAAI 2021-Deep Fusion Clustering Network
  ☆79Updated last year
• YujieMo / DMG
  ☆18Updated 10 months ago
• LirongWu / Homophily-Enhanced-Self-supervision
  Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"
  ☆14Updated last year
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆52Updated 2 years ago
• jcheng66 / WGDN
  Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023
  ☆18Updated 11 months ago
• rollingstonezz / Curriculum_learning_for_GNNs
  This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"
  ☆15Updated last year
• sckangz / MvAGC
  ☆21Updated 3 years ago
• hyzhang98 / EGAE
  Implementation of "Embedding Graph Auto-Encoder for Graph Clustering", IEEE Transactions on Neural Networks and Learning Systems.
  ☆24Updated 2 years ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• yixinliu233 / G-OOD-D
  [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
  ☆38Updated 2 years ago
• BUPT-GAMMA / Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning
  Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"
  ☆29Updated 2 years ago
• scottshufe / Awesome-Graph-Contrastive-Learning
  A collection of graph contrastive learning methods.
  ☆18Updated 2 years ago
• EnyanDai / RSGNN
  An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
  ☆33Updated 2 years ago
• Frostland12138 / Awesome-Graph-Condensation
  ☆16Updated last year
• kepsail / SHGP
  NeurIPS 2022 - SHGP
  ☆30Updated last year
• victorchen96 / ReNode
  Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
  ☆55Updated 3 years ago