Alternatives and similar repositories for spectral_graph_convnets

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

• xbresson / spatial_graph_convnets
  PyTorch implementation of residual gated graph ConvNets, ICLR’18
  ☆122Updated 6 years ago
• mys007 / ecc
  Edge-Conditioned Convolutions on Graphs
  ☆231Updated 6 years ago
• lrjconan / LanczosNetwork
  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …
  ☆314Updated 5 years ago
• sk1712 / gcn_metric_learning
  Metric Learning with Graph Convolutional Neural Networks
  ☆206Updated 6 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆326Updated 6 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆179Updated 7 years ago
• fps7806 / Graph-CNN
  Implementation of https://arxiv.org/abs/1703.00792.
  ☆46Updated 7 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆285Updated 4 years ago
• fmonti / mgcnn
  Multi-Graph Convolutional Neural Networks
  ☆255Updated 7 years ago
• lightaime / deep_gcns
  Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
  ☆630Updated 5 years ago
• pierrebaque / GeometricConvolutionsBench
  ☆33Updated 7 years ago
• horacepan / gnns
  Collection of graph neural networks in pytorch
  ☆50Updated 7 years ago
• snap-stanford / GraphRNN
  ☆423Updated 6 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 7 years ago
• rusty1s / embedded_gcnn
  Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
  ☆78Updated 7 years ago
• shagunsodhani / Graph-Reading-Group
  Weekly reading group on Graphs at Mila
  ☆279Updated 6 years ago
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆318Updated 4 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆95Updated 6 years ago
• rusty1s / pytorch_spline_conv
  Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
  ☆179Updated 3 weeks ago
• benedekrozemberczki / MixHop-and-N-GCN
  An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
  ☆405Updated 2 years ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆145Updated 7 years ago
• priba / nmp_qc
  Our own implementation of Neural Message Passing for Computer Vision paper
  ☆342Updated 5 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆203Updated 3 years ago
• JiaxuanYou / graph-generation
  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
  ☆721Updated 3 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆918Updated 7 years ago
• HongyangGao / Graph-U-Nets
  Pytorch implementation of Graph U-Nets (ICML19)
  ☆537Updated 4 years ago
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆334Updated 4 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 4 years ago
• RexYing / diffpool
  ☆491Updated 4 years ago
• huangwb / AS-GCN
  tensorflow-as-gcn
  ☆90Updated 5 years ago