Alternatives and similar repositories for graph

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

• johncava / GCN-pytorch
  Pytorch Implementation of Graph Convolutional Neural Networks
  ☆111Updated 8 years ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆146Updated 7 years ago
• divelab / lgcn
  ☆137Updated 5 years ago
• vector-1127 / SACNNs
  a unified convolution on both Euclidean and non-Euclidean domains
  ☆25Updated 6 years ago
• huangwb / AS-GCN
  tensorflow-as-gcn
  ☆89Updated 6 years ago
• KaihuaTang / GGNN-for-bAbI-dataset.pytorch.1.0
  A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)
  ☆55Updated 3 years ago
• liqimai / Efficient-SSL
  Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."
  ☆75Updated 6 years ago
• PwnerHarry / Stronger_GCN
  Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"
  ☆53Updated last year
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆123Updated last year
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆96Updated 6 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆327Updated 7 years ago
• yinboc / DGP
  Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019
  ☆320Updated 6 years ago
• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆372Updated last year
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆203Updated 4 years ago
• hjjpku / Attention_in_Graph
  attention mechanism for graph classification, significant sub-graph mining, graph disstillation
  ☆38Updated 4 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆142Updated 7 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆125Updated 6 years ago
• babylonhealth / rgat
  A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811
  ☆120Updated 3 years ago
• seiya-kumada / patchy-san
  patchy-san implemented in Chainer
  ☆48Updated 7 years ago
• jermainewang / dgl
  The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.
  ☆154Updated 2 years ago
• XinyiZ001 / CapsGNN
  Tensorflow implementation of Capsule Graph Neural Network
  ☆75Updated 4 years ago
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆319Updated 5 years ago
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆84Updated 3 years ago
• shuowang-ai / GeniePath-pytorch
  This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…
  ☆105Updated last year
• masakicktashiro / rgcn_pytorch_implementation
  ☆61Updated 5 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 5 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆182Updated 7 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆90Updated 4 years ago
• 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
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆336Updated 5 years ago