Alternatives and similar repositories for SHGP:

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

• kaize0409 / S-3-CL
  PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)
  ☆24Updated last month
• zyzisastudyreallyhardguy / Graph-Group-Discrimination
  Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…
  ☆55Updated 2 years ago
• JialuChenChina / ASP
  The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)
  ☆20Updated last week
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆52Updated 2 years ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆43Updated 2 years ago
• baoyujing / HDMI
  ☆27Updated 3 years ago
• liun-online / SpCo
  The source code of SpCo
  ☆35Updated last year
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆44Updated 3 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆32Updated 3 years ago
• Zehong-Wang / HGCML
  Heterogeneous Graph Contrastive Multi-view Learning, SDM 23
  ☆21Updated last year
• LEAP-WS / CG3
  This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…
  ☆17Updated 2 years 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
• zhoushengisnoob / CKD
  Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
  ☆16Updated 3 years ago
• hedongxiao-tju / HOG-GCN
  ☆37Updated 3 years ago
• BUPT-GAMMA / Graph-Structure-Estimation-Neural-Networks
  Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"
  ☆58Updated 3 years ago
• NSSSJSS / MHGCN
  KDD'22
  ☆60Updated 2 years ago
• zjunet / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆28Updated last year
• BUPT-GAMMA / PTHGNN
  source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".
  ☆22Updated 3 years ago
• yuwvandy / FairVGNN
  ☆25Updated 2 years ago
• wyl7 / ClusterSCL
  The pytorch implementation of ClusterSCL (WWW2022).
  ☆15Updated last year
• EnyanDai / RSGNN
  An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
  ☆33Updated 2 years ago
• graphprojects / CM-GCL
  Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
  ☆20Updated 2 years ago
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆66Updated 2 years ago
• ZhuYun97 / RoSA
  Official implementation of RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
  ☆35Updated 2 years ago
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆64Updated last year
• ivam-he / PSHGCN
  ☆17Updated 2 months ago
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆60Updated 4 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
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆79Updated 2 years ago
• YujieMo / SUGRL
  ☆46Updated 2 years ago