Alternatives and similar repositories for graph_nets

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

• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,416Updated last year
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,389Updated last year
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,802Updated 2 years ago
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,334Updated 2 years ago
• google-deepmind / trfl
  TensorFlow Reinforcement Learning
  ☆3,134Updated 2 years ago
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,085Updated 4 years ago
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆14,144Updated 3 months ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,039Updated last year
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,641Updated 2 years ago
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,026Updated 6 years ago
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,381Updated 5 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,630Updated last year
• tensorflow / adanet
  Fast and flexible AutoML with learning guarantees.
  ☆3,461Updated last year
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,273Updated 2 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,714Updated 5 years ago
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,989Updated last month
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,282Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,460Updated 3 years ago
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆929Updated 2 years ago
• Luolc / AdaBound
  An optimizer that trains as fast as Adam and as good as SGD.
  ☆2,911Updated 2 years ago
• facebookresearch / ReAgent
  A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
  ☆3,670Updated last week
• naturomics / CapsNet-Tensorflow
  A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
  ☆3,795Updated 6 years ago
• pyg-team / pytorch_geometric
  Graph Neural Network Library for PyTorch
  ☆23,168Updated last week
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,050Updated 6 months ago
• kmkolasinski / deep-learning-notes
  Experiments with Deep Learning
  ☆1,352Updated 2 years ago
• tensorflow / lucid
  A collection of infrastructure and tools for research in neural network interpretability.
  ☆4,703Updated 2 years ago
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,628Updated 3 weeks ago
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,978Updated 3 weeks ago
• carpedm20 / ENAS-pytorch
  PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
  ☆2,724Updated 2 years ago
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,652Updated last year