Alternatives and similar repositories for GNN_tensorflow

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

• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆318Updated 5 years ago
• muhanzhang / DGCNN
  Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
  ☆178Updated 7 years ago
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]
  ☆337Updated 5 years ago
• Eilene / GWNN
  A TensorFlow implementation of Graph Wavelet Neural Network
  ☆64Updated 7 years ago
• fmonti / mgcnn
  Multi-Graph Convolutional Neural Networks
  ☆256Updated 7 years ago
• benedekrozemberczki / GAM
  A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
  ☆274Updated 3 years ago
• vuptran / graph-representation-learning
  [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification
  ☆255Updated 6 years ago
• benedekrozemberczki / GraphWaveletNeuralNetwork
  A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
  ☆605Updated 2 years ago
• TobiasSkovgaardJepsen / posts
  A repository for code accompanying my Medium posts.
  ☆65Updated 3 years ago
• khuangaf / PyTorch-Geometric-YooChoose
  This is a tutorial for PyTorch Geometric on the YooChoose dataset
  ☆316Updated 6 years ago
• BrizziB / Graph-Classification-with-GCN
  A simple implementation of a portion of GCN (Kipf & Welling) that can handle graph classification.
  ☆40Updated 6 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆183Updated 7 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• vector-1127 / SACNNs
  a unified convolution on both Euclidean and non-Euclidean domains
  ☆25Updated 7 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated 2 years ago
• davide-belli / graphsage-diffpool-classifier
  Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers
  ☆33Updated 7 years ago
• zhouchunpong / GCN_Keras
  图卷积神经网络 Graph Convolutional Network with Keras
  ☆165Updated 2 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., …
  ☆187Updated 3 years ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆135Updated 5 years ago
• alge24 / eigenpooling
  An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
  ☆50Updated 6 years ago
• seiya-kumada / patchy-san
  patchy-san implemented in Chainer
  ☆48Updated 7 years ago
• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆372Updated 2 years ago
• Ivan0131 / gnn_demo
  ☆29Updated 6 years ago
• benedekrozemberczki / SEAL-CI
  A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
  ☆212Updated 3 years ago
• tvayer / PSCN
  A python implementation of Patchy-San Convolutional Network for Graph
  ☆41Updated 5 years ago
• muhanzhang / pytorch_DGCNN
  PyTorch implementation of DGCNN
  ☆396Updated 2 years ago
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆540Updated 6 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆528Updated 4 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch [NeurIPS 2019]
  ☆289Updated 5 years ago
• jiangqn / GCN-GAN-pytorch
  A pytorch implemention of GCN-GAN for temporal link prediction.
  ☆104Updated 6 years ago