Alternatives and similar repositories for GLADC

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

• nairouz / FT-VGAE
  IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering
  ☆21Updated 2 years ago
• hzhao98 / GDCL
  Graph Debiased Contrastive Learning with Joint Representation Clustering
  ☆25Updated 2 years ago
• BUPT-GAMMA / CuCo
  source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"
  ☆26Updated 4 years ago
• junxia97 / ProGCL
  [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
  ☆46Updated 3 years ago
• gongleii / AGC-DRR
  IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction
  ☆14Updated last year
• wangtong627 / NCAGC-NeuroCom
  The Pytorch implementation of "NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering"
  ☆17Updated last year
• FelixDJC / NLGAD
  An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by AC…
  ☆12Updated 2 years ago
• yifanQi98 / HGRL
  ☆15Updated 3 years ago
• hengruizhang98 / CCA-SSG
  Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484
  ☆70Updated 2 years ago
• ChandlerBang / AutoSSL
  [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
  ☆42Updated 3 years ago
• wenzhilics / HomoGCL
  "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23
  ☆14Updated 2 years ago
• kunzhan / MTGCN
  FGCS 2021: Mutual teaching for graph convolutional networks
  ☆15Updated 5 years ago
• TrustAGI-Lab / MERIT
  [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
  ☆40Updated 3 years ago
• cszhangzhen / MVPool
  Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
  ☆24Updated 3 years ago
• Panern / MCGC
  ☆55Updated 3 years ago
• xdweixia / SGCMC
  The Tensorflow Implementation of paper Self-supervised Graph Convolutional Network For Multi-view Clustering
  ☆36Updated 3 years ago
• hyzhang98 / AdaGAE
  [TPAMI 2022] Adaptive Graph Auto-Encoder for General Data Clustering
  ☆47Updated 2 years ago
• ZhuYun97 / RoSA
  Official implementation of RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
  ☆35Updated 2 years ago
• kaize0409 / Meta-PN
  PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)
  ☆29Updated 3 years ago
• sckangz / MvAGC
  ☆23Updated 4 years ago
• yifeiacc / COSTA
  Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
  ☆49Updated 2 years ago
• BUPT-GAMMA / CaGCN
  This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".
  ☆22Updated 3 years ago
• zyzisastudyreallyhardguy / UGCL
  The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"
  ☆21Updated 3 years ago
• yixinliu233 / G-OOD-D
  [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
  ☆45Updated 2 years ago
• CurvCluster / Congregate
  ☆11Updated 2 years ago
• hyzhang98 / EGAE
  [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering
  ☆26Updated 3 years ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• Ee1s / GOODAT
  GOODAT: Towards Test-time Graph Out-of-Distribution Detection
  ☆12Updated last year
• snudatalab / GraphAug
  Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)
  ☆21Updated 4 months ago
• draym28 / LSGNN
  [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
  ☆17Updated last year