pyg-team / pytorch_geometric
Graph Neural Network Library for PyTorch
☆22,194Updated this week
Alternatives and similar repositories for pytorch_geometric:
Users that are interested in pytorch_geometric are comparing it to the libraries listed below
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆13,822Updated 2 months ago
- Must-read papers on graph neural networks (GNN)☆16,344Updated last year
- Graph Convolutional Networks in PyTorch☆5,285Updated 4 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,239Updated last year
- links to conference publications in graph-based deep learning☆4,903Updated 4 months ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,579Updated last year
- Build Graph Nets in Tensorflow☆5,379Updated 2 years ago
- Paper Lists for Graph Neural Networks☆2,252Updated last year
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,334Updated 3 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,016Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,503Updated 8 months ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,790Updated 2 years ago
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆29,263Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,845Updated 2 months ago
- A comprehensive collection of recent papers on graph deep learning☆3,084Updated 4 years ago
- Generate embeddings from large-scale graph-structured data.☆3,407Updated last year
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆15,784Updated last year
- PyTorch Tutorial for Deep Learning Researchers☆31,104Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,995Updated 4 months ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,929Updated 2 months ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,779Updated 2 weeks ago
- PyTorch3D is FAIR's library of reusable components for deep learning with 3D data☆9,178Updated 2 weeks ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,782Updated last year
- PyTorch implementations of Generative Adversarial Networks.☆16,915Updated 9 months ago
- 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.☆14,647Updated 2 years ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,000Updated this week
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,768Updated last year
- A Collection of Variational Autoencoders (VAE) in PyTorch.☆7,060Updated 3 weeks ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,607Updated this week
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆22,947Updated 2 months ago