Alternatives and similar repositories for pytorch-AGNN

Users that are interested in pytorch-AGNN are comparing it to the libraries listed below

• johncava / GCN-pytorch
  Pytorch Implementation of Graph Convolutional Neural Networks
  ☆111Updated 7 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆203Updated 3 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆95Updated 6 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
• 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
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆122Updated last year
• VoVAllen / diffpool
  ☆37Updated 6 years ago
• ShiYaya / graph
  ☆53Updated 5 years ago
• divelab / lgcn
  ☆137Updated 5 years ago
• TrustAGI-Lab / ARGA
  This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …
  ☆184Updated 3 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆326Updated 6 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 7 years ago
• vector-1127 / SACNNs
  a unified convolution on both Euclidean and non-Euclidean domains
  ☆25Updated 6 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated 2 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆124Updated 5 years ago
• huangwb / AS-GCN
  tensorflow-as-gcn
  ☆90Updated 5 years ago
• hjjpku / Attention_in_Graph
  attention mechanism for graph classification, significant sub-graph mining, graph disstillation
  ☆38Updated 4 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 6 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆179Updated 7 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
  ☆110Updated 4 years ago
• PwnerHarry / Stronger_GCN
  Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"
  ☆53Updated 8 months ago
• mahsa91 / py_mgcn
  MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks
  ☆38Updated 3 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆89Updated 4 years ago
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆334Updated 4 years ago
• xbresson / spatial_graph_convnets
  PyTorch implementation of residual gated graph ConvNets, ICLR’18
  ☆122Updated 6 years ago
• horacepan / gnns
  Collection of graph neural networks in pytorch
  ☆50Updated 7 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆100Updated 5 years ago
• seiya-kumada / patchy-san
  patchy-san implemented in Chainer
  ☆48Updated 6 years ago
• liqimai / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆45Updated 7 years ago