Alternatives and similar repositories for H2H-GCN

Users that are interested in H2H-GCN are comparing it to the libraries listed below

• Shen-Lab / SS-GCNs
  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆111Updated 4 years ago
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 4 years ago
• ChengtaiCao / Meta-GNN
  ☆67Updated 2 years ago
• snap-stanford / GIB
  Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
  ☆137Updated 2 years ago
• junhocho / HGCAE
  HGCAE Pytorch implementation. CVPR2021 accepted.
  ☆44Updated 2 years ago
• dongkwan-kim / SuperGAT
  [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
  ☆159Updated 2 years ago
• vijaydwivedi75 / gnn-lspe
  Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
  ☆264Updated 3 years ago
• HongtengXu / gwl
  Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  ☆72Updated 6 years ago
• limaosen0 / GXN
  Graph Cross Network
  ☆47Updated 5 years ago
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆199Updated last year
• jiangboahu / GLCN-tf
  Graph Learning Convolution Network
  ☆39Updated 2 years ago
• ihollywhy / DistillGCN.PyTorch
  Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20
  ☆57Updated 2 years ago
• devnkong / FLAG
  Official implementation of our FLAG paper (CVPR2022)
  ☆145Updated 3 years ago
• Thinklab-SJTU / WSGNN
  Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…
  ☆20Updated 2 years ago
• jianhao2016 / GPRGNN
  ☆136Updated 2 years ago
• kavehhassani / mvgrl
  ☆272Updated 3 years ago
• jiaqima / G3NN
  A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)
  ☆16Updated 3 years ago
• hengruizhang98 / CCA-SSG
  Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484
  ☆69Updated last year
• TrustAGI-Lab / UDAGCN
  Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
  ☆58Updated 4 years ago
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆272Updated 2 years ago
• allenhaozhu / COLES
  ☆21Updated 3 years ago
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆123Updated last year
• gear / gfnn
  Graph Filter Neural Network (ICPR'20)
  ☆48Updated 5 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated 2 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated 2 years ago
• LingxiaoShawn / PairNorm
  Source code for PairNorm (ICLR 2020)
  ☆79Updated 5 years ago
• allenhaozhu / SSGC
  Implementation for Simple Spectral Graph Convolution in ICLR 2021
  ☆83Updated 3 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• THUDM / GRAND
  Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
  ☆210Updated 2 years ago
• malllabiisc / HyperGCN
  NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
  ☆207Updated 5 years ago