Alternatives and similar repositories for Congregate:

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

• gongleii / AGC-DRR
  IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction
  ☆13Updated 3 months ago
• WxTu / ITR
  IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network
  ☆13Updated 11 months ago
• yueliu1999 / SCGC
  [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".
  ☆31Updated 9 months ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆49Updated 2 years ago
• LirongWu / Homophily-Enhanced-Self-supervision
  Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"
  ☆14Updated 11 months ago
• junxia97 / ProGCL
  [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
  ☆45Updated 2 years ago
• kepsail / SHGP
  NeurIPS 2022 - SHGP
  ☆30Updated last year
• hzhao98 / GDCL
  Graph Debiased Contrastive Learning with Joint Representation Clustering
  ☆24Updated last year
• Panern / DGCN
  ☆16Updated last year
• YuanchenBei / Awesome-Self-Supervised-Learning-on-Graphs-with-Heterophily
  A curated list of Heterophilous Graph Self-Supervised Learning papers.
  ☆14Updated last year
• kaize0409 / S-3-CL
  PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)
  ☆23Updated last week
• IMKBLE / MAGCN
  ☆37Updated 3 years ago
• RiemannGraph / MotifRGC
  Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
  ☆15Updated 10 months ago
• hyzhang98 / EGAE
  Implementation of "Embedding Graph Auto-Encoder for Graph Clustering", IEEE Transactions on Neural Networks and Learning Systems.
  ☆24Updated 2 years ago
• draym28 / LSGNN
  [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
  ☆17Updated 3 months ago
• nairouz / FT-VGAE
  IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering
  ☆21Updated last year
• shenxiaocam / NCLA
  Neighbor Contrastive Learning on Learnable Graph Augmentation
  ☆34Updated 7 months ago
• YwL-zhufeng / DuaLGR
  The source code for “Dual Label-Guided Graph Refinement for Multi-View Graph Clustering”
  ☆22Updated last year
• zyzisastudyreallyhardguy / GOAL-Graph-Complementary-Learning
  The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…
  ☆15Updated last year
• yixinliu233 / G-OOD-D
  [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
  ☆37Updated last year
• yixinliu233 / D2PT
  [KDD'23] Learning Strong Graph Neural Networks with Weak Information
  ☆44Updated last year
• XinPeng97 / TNNLS_DCLN
  Source code for the paper "Dual Contrastive Learning Network for Graph Clustering"
  ☆11Updated last year
• EnyanDai / NRGNN
  Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…
  ☆42Updated 2 years ago
• EnyanDai / RSGNN
  An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
  ☆32Updated 2 years ago
• zhoushengisnoob / CKD
  Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
  ☆16Updated 3 years ago
• ChenJY-Count / PolyGCL
  PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"
  ☆13Updated 11 months ago
• KellyGong / SparseGAD
  ☆18Updated last year
• JialuChenChina / ASP
  The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)
  ☆20Updated 8 months ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆42Updated 2 years ago
• yifeiacc / COSTA
  Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
  ☆49Updated last year