Alternatives and similar repositories for cnn_graph:

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

• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆911Updated 7 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,665Updated 5 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆792Updated 3 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆900Updated 4 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,248Updated last year
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,028Updated 5 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆836Updated 3 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆521Updated 3 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,005Updated 4 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆793Updated 2 years ago
• RexYing / diffpool
  ☆486Updated 4 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,204Updated 3 years ago
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆480Updated 4 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,478Updated 6 months ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,294Updated 2 years ago
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,247Updated 4 years ago
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,213Updated last year
• JiaxuanYou / graph-generation
  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
  ☆710Updated 3 years ago
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆317Updated 4 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆803Updated 5 years ago
• benedekrozemberczki / GraphWaveletNeuralNetwork
  A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
  ☆586Updated last year
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆533Updated 5 years ago
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆918Updated 2 years ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆759Updated last year
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆634Updated 2 years ago
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆2,973Updated last year
• lightaime / deep_gcns_torch
  Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
  ☆1,147Updated 2 years ago
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆462Updated 6 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks
  ☆2,555Updated last year
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆404Updated 4 years ago