Alternatives and similar repositories for CPF

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

• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆89Updated 4 years ago
• snap-stanford / GIB
  Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
  ☆138Updated 3 years ago
• ChandlerBang / GCond
  [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"
  ☆141Updated 2 months ago
• bdy9527 / FAGCN
  ☆99Updated 4 years ago
• vanoracai / MixupForGraph
  Code for paper "Mixup for Node and Graph Classification", WWW 2021
  ☆47Updated 4 years ago
• victorchen96 / ReNode
  Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
  ☆55Updated 4 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
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆81Updated 3 years ago
• BUPT-GAMMA / Graph-Structure-Estimation-Neural-Networks
  Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"
  ☆59Updated 4 years ago
• dongkwan-kim / SuperGAT
  [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
  ☆159Updated 2 years ago
• qitianwu / GraphOOD-EERM
  The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
  ☆92Updated 3 years ago
• datake / AdaGCN
  Official Implementation of AdaGCN (ICLR 2021)
  ☆63Updated 3 years ago
• zpeng27 / GMI
  Graph Representation Learning via Graphical Mutual Information Maximization
  ☆118Updated 5 years ago
• Shen-Lab / GraphCL_Automated
  [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…
  ☆116Updated last year
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• Wuyxin / DIR-GNN
  (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks
  ☆132Updated 2 years ago
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆92Updated 4 years ago
• allenhaozhu / SSGC
  Implementation for Simple Spectral Graph Convolution in ICLR 2021
  ☆85Updated 3 years ago
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆59Updated 4 years ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆65Updated 2 years ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆107Updated 6 months ago
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆68Updated 2 years ago
• yanghu819 / Graph-MLP
  ☆77Updated 4 years ago
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆195Updated last year
• ahxt / g-mixup
  [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification
  ☆105Updated last year
• Somedaywilldo / AutoGCL
  AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)
  ☆48Updated 3 years ago
• THUDM / GRAND
  Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
  ☆212Updated 2 years ago
• jianhao2016 / GPRGNN
  ☆139Updated 2 years ago
• weitianxin / HyperGCL
  [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…
  ☆62Updated 3 years ago
• ChengtaiCao / Meta-GNN
  ☆68Updated 3 years ago