Alternatives and similar repositories for GGPN:

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

• 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
• wyl7 / ClusterSCL
  The pytorch implementation of ClusterSCL (WWW2022).
  ☆15Updated last year
• Yvonneupup / DHNE
  This repository contains implementation of DHNE : Network Representation Learning Method for Dynamic Heterogeneous Network.
  ☆10Updated 5 years ago
• mxz12119 / MPDRL
  ☆19Updated 5 years ago
• TrustAGI-Lab / MERIT
  [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
  ☆40Updated 2 years ago
• LirongWu / GraphMixup
  Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…
  ☆23Updated last year
• zwt233 / GAMLP
  ☆18Updated 3 years ago
• snudatalab / SVGA
  Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)
  ☆18Updated last year
• wenzhilics / HomoGCL
  "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23
  ☆13Updated last year
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• RingBDStack / PASTEL
  Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"
  ☆15Updated last year
• im0qianqian / WSDM2022TGP-AntGraph
  the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)
  ☆13Updated last year
• graphprojects / CM-GCL
  Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
  ☆20Updated 2 years ago
• moranbel / tdGraphEmbed
  ☆21Updated last year
• junxia97 / ProGCL
  [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
  ☆45Updated 2 years ago
• jindi-tju / HGNN-AC
  Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"
  ☆37Updated 3 years ago
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆66Updated 2 years ago
• yule-BUAA / LEGNN
  codes of LEGNN for Semi-supervised Node Classification
  ☆12Updated 2 years ago
• RManLuo / GSNOP
  Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  ☆33Updated last year
• zhoushengisnoob / CKD
  Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
  ☆16Updated 3 years ago
• wyl7 / DCI-pytorch
  The pytorch implementation of DCI (SIGIR2021).
  ☆34Updated last year
• songjiang0909 / HINTS_code
  Code for "HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding".
  ☆12Updated 3 years ago
• blacksingular / GHRN
  [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…
  ☆36Updated last year
• RUCKBReasoning / ClusterSCL
  The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).
  ☆11Updated 2 years ago
• zyzisastudyreallyhardguy / UGCL
  The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"
  ☆21Updated 2 years ago
• AndyJZhao / WSDM23-GSR
  ☆18Updated 2 years ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆43Updated 2 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 3 years ago
• kaize0409 / S-3-CL
  PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)
  ☆24Updated last month
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆48Updated 3 years ago