Alternatives and similar repositories for PyTorch_GCN

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

• huaxiuyao / GFL
  GFL for AAAI 2020
  ☆31Updated 4 years ago
• PwnerHarry / Stronger_GCN
  Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"
  ☆53Updated last year
• Shen-Lab / SS-GCNs
  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆112Updated 4 years ago
• ChengtaiCao / Meta-GNN
  ☆67Updated 2 years ago
• zpeng27 / GMI
  Graph Representation Learning via Graphical Mutual Information Maximization
  ☆117Updated 5 years ago
• chengsen / Awesome-Graph-Papers
  Collect papers about graph
  ☆76Updated 5 years ago
• Luoyadan / BGNN-AAAI
  official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)
  ☆63Updated 5 years ago
• snap-stanford / GIB
  Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
  ☆137Updated 3 years ago
• bingzhewei / geom-gcn
  ☆302Updated 3 years ago
• bdy9527 / FAGCN
  ☆99Updated 4 years ago
• shuowang-ai / graph-neural-network-pyg
  PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.
  ☆50Updated 6 years ago
• DongHande / PT_propagation_then_training
  The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)
  ☆26Updated 4 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated 2 years ago
• iQua / CVPR2020-Shoestring
  Official code for the CVPR 2020 paper "Shoestring: Graph-Based Semi-Supervised Classification with Severely Limited Labeled Data."
  ☆10Updated 5 years ago
• kavehhassani / mvgrl
  ☆275Updated 3 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆83Updated last year
• jiaqima / G3NN
  A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)
  ☆16Updated 4 years ago
• danielzuegner / gnn-meta-attack
  Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
  ☆154Updated 3 years ago
• CrawlScript / Awesome-Graph-Contrastive-Learning
  Collection of resources related with Graph Contrastive Learning.
  ☆34Updated 4 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
• AvigdorZ / ADaptive-Structural-Fingerprint
  ☆30Updated 5 years ago
• miafei / NodeNorm
  ☆30Updated 2 years ago
• jiangboahu / GLCN-tf
  Graph Learning Convolution Network
  ☆39Updated 2 years ago
• psp3dcg / GSAPool
  The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling
  ☆30Updated 5 years ago
• Kaixiong-Zhou / DGN
  Pytorch implementation of differentiable group normalization (NeurIPS 2020)
  ☆38Updated 5 years ago
• ihollywhy / FactorGCN.PyTorch
  Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20
  ☆51Updated 4 years ago
• limaosen0 / GXN
  Graph Cross Network
  ☆48Updated 5 years ago
• davide-belli / graphsage-diffpool-classifier
  Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers
  ☆33Updated 6 years ago
• chauhanjatin10 / GraphsFewShot
  Few Shot Learning on Graphs
  ☆33Updated 2 years ago
• uoguelph-mlrg / LDG
  PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
  ☆101Updated 4 years ago