Alternatives and similar repositories for pytorch_geometric:

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

• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆13,865Updated 2 months ago
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,385Updated last year
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,298Updated 4 years ago
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,912Updated this week
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,251Updated 2 years ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,383Updated 2 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,582Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,347Updated 3 years ago
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,933Updated this week
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆3,027Updated last year
• NVIDIA / apex
  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
  ☆8,645Updated 3 weeks ago
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,882Updated last week
• pytorch / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆23,008Updated this week
• benedekrozemberczki / pytorch_geometric_temporal
  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
  ☆2,792Updated last month
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,256Updated last year
• pytorch / vision
  Datasets, Transforms and Models specific to Computer Vision
  ☆16,794Updated this week
• bharathgs / Awesome-pytorch-list
  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
  ☆15,816Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,998Updated 4 months ago
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,787Updated 2 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,514Updated 9 months ago
• microsoft / Graphormer
  Graphormer is a general-purpose deep learning backbone for molecular modeling.
  ☆2,262Updated 10 months ago
• Lightning-AI / pytorch-lightning
  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
  ☆29,384Updated last week
• tensorflow / tensor2tensor
  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
  ☆16,098Updated last year
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,798Updated last year
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,651Updated last week
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,770Updated last year
• yunjey / pytorch-tutorial
  PyTorch Tutorial for Deep Learning Researchers
  ☆31,218Updated last year
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,014Updated last week
• divelab / DIG
  A library for graph deep learning research
  ☆1,952Updated 9 months ago
• optuna / optuna
  A hyperparameter optimization framework
  ☆11,869Updated this week