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.
  ☆13,921Updated 4 months ago
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,272Updated 2 years ago
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,318Updated 4 years ago
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,431Updated last year
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,930Updated 3 weeks ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,373Updated 3 years ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,386Updated 2 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,592Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,535Updated 10 months ago
• pytorch / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆23,155Updated this week
• jadore801120 / attention-is-all-you-need-pytorch
  A PyTorch implementation of the Transformer model in "Attention is All You Need".
  ☆9,242Updated last year
• NVIDIA / apex
  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
  ☆8,686Updated this week
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,948Updated this week
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,261Updated last year
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,790Updated 2 years ago
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆3,041Updated last year
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,413Updated last year
• gordicaleksa / pytorch-GAT
  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…
  ☆2,554Updated 2 years ago
• benedekrozemberczki / pytorch_geometric_temporal
  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
  ☆2,823Updated last week
• yunjey / pytorch-tutorial
  PyTorch Tutorial for Deep Learning Researchers
  ☆31,384Updated last year
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,668Updated this week
• codertimo / BERT-pytorch
  Google AI 2018 BERT pytorch implementation
  ☆6,416Updated last year
• pytorch / vision
  Datasets, Transforms and Models specific to Computer Vision
  ☆16,907Updated this week
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,512Updated last month
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,991Updated last month
• huggingface / accelerate
  🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…
  ☆8,839Updated this week
• pytorch / tutorials
  PyTorch tutorials.
  ☆8,622Updated this week
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,016Updated last year
• eriklindernoren / PyTorch-GAN
  PyTorch implementations of Generative Adversarial Networks.
  ☆17,061Updated last year
• Lightning-AI / pytorch-lightning
  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
  ☆29,644Updated this week