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.
  ☆3,401Updated last year
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,375Updated last year
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,785Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,487Updated 7 months ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆2,985Updated 11 months ago
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,221Updated last year
• tensorflow / lucid
  A collection of infrastructure and tools for research in neural network interpretability.
  ☆4,686Updated 2 years ago
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,081Updated 4 years ago
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆13,761Updated last month
• google-deepmind / trfl
  TensorFlow Reinforcement Learning
  ☆3,136Updated 2 years ago
• pyg-team / pytorch_geometric
  Graph Neural Network Library for PyTorch
  ☆22,002Updated last week
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,028Updated 5 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,312Updated 2 years ago
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,888Updated 3 months ago
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆917Updated 2 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,243Updated last year
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,568Updated last year
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,675Updated 5 years ago
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,015Updated this week
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,276Updated last year
• Luolc / AdaBound
  An optimizer that trains as fast as Adam and as good as SGD.
  ☆2,909Updated last year
• facebookresearch / ReAgent
  A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
  ☆3,596Updated this week
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,710Updated last year
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,251Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,984Updated 3 months ago
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,918Updated 2 months ago
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,608Updated 4 years ago
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,765Updated last year
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,685Updated this week
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,351Updated 4 years ago