Alternatives and similar repositories for graph_cnn:

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

• vermaMachineLearning / Graph-Capsule-CNN-Networks
  Graph Capsule Convolutional Neural Networks
  ☆36Updated 5 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• joanbruna / GNN_community
  Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li
  ☆73Updated 7 years ago
• taolei87 / icml17_knn
  Deriving Neural Architectures from Sequence and Graph Kernels
  ☆59Updated 7 years ago
• dfdazac / dgi
  TensorFlow implementation of Deep Graph Infomax
  ☆63Updated 6 years ago
• horacepan / gnns
  Collection of graph neural networks in pytorch
  ☆50Updated 7 years ago
• HongyangGao / LGCN
  Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18
  ☆46Updated 6 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago
• xiaohan2012 / sdne-keras
  Keras implementation of Structural Deep Network Embedding, KDD 2016
  ☆92Updated 6 years ago
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆85Updated 2 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆202Updated 3 years ago
• krohak / TAGCN
  Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)
  ☆19Updated 3 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• yuj-umd / graphRNN
  Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"
  ☆29Updated 6 years ago
• fps7806 / Graph-CNN
  Implementation of https://arxiv.org/abs/1703.00792.
  ☆46Updated 7 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• mdeff / ntds_2016
  Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
  ☆98Updated 4 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 5 years ago
• mehdidc / dpp
  Determinantal point process
  ☆19Updated 9 years ago
• ntumslab / PRUNE
  PRUNE: Preserving Proximity and Global Ranking for Network Embedding
  ☆44Updated 6 years ago
• ShelsonCao / GraRep
  Source Code of GraRep
  ☆52Updated 7 years ago
• PurdueMINDS / RelationalPooling
  ☆35Updated 5 years ago
• pfnet-research / chainer-graph-cnn
  Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09…
  ☆68Updated 7 years ago
• HKUST-KnowComp / semihin
  source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…
  ☆31Updated 7 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆179Updated 6 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 4 years ago
• dongguosheng / deepwalk
  weighted deepwalk implementation in c++
  ☆18Updated 8 years ago
• pfnet-research / bayesgrad
  BayesGrad: Explaining Predictions of Graph Convolutional Networks
  ☆63Updated 3 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 7 years ago