Alternatives and similar repositories for graph_nn:

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

• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆370Updated last year
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆284Updated 4 years ago
• HongyangGao / Graph-U-Nets
  Pytorch implementation of Graph U-Nets (ICML19)
  ☆528Updated 4 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆398Updated 4 years ago
• RexYing / diffpool
  ☆486Updated 4 years ago
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆338Updated 3 years ago
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆344Updated 4 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆325Updated 6 years ago
• muhanzhang / pytorch_DGCNN
  PyTorch implementation of DGCNN
  ☆377Updated last year
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆471Updated 2 years ago
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆318Updated 4 years ago
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆464Updated 6 years ago
• benedekrozemberczki / GAM
  A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
  ☆272Updated 2 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".
  ☆174Updated 6 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
• khuangaf / PyTorch-Geometric-YooChoose
  This is a tutorial for PyTorch Geometric on the YooChoose dataset
  ☆317Updated 5 years ago
• snap-stanford / GraphRNN
  ☆420Updated 6 years ago
• bingzhewei / geom-gcn
  ☆295Updated 2 years ago
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆395Updated 8 months ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆524Updated 3 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆193Updated 4 years ago
• sunfanyunn / InfoGraph
  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …
  ☆318Updated last year
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆270Updated last year
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆120Updated 10 months ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆202Updated 3 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆837Updated 3 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆346Updated 2 years ago
• mengliu1998 / awesome-deep-gnn
  Papers about developing deep Graph Neural Networks (GNNs)
  ☆303Updated last year
• zfjsail / gae-pytorch
  Graph Auto-Encoder in PyTorch
  ☆426Updated 11 months ago
• benedekrozemberczki / SEAL-CI
  A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
  ☆209Updated 2 years ago