dmlc / dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
☆13,662Updated this week
Alternatives and similar repositories for dgl:
Users that are interested in dgl are comparing it to the libraries listed below
- Graph Neural Network Library for PyTorch☆21,751Updated this week
- Must-read papers on graph neural networks (GNN)☆16,177Updated last year
- Graph Convolutional Networks in PyTorch☆5,230Updated 4 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,200Updated last year
- links to conference publications in graph-based deep learning☆4,865Updated last month
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,277Updated 2 years ago
- Repository for benchmarking graph neural networks☆2,541Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,458Updated 5 months ago
- Build Graph Nets in Tensorflow☆5,369Updated 2 years ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,898Updated this week
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,770Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,964Updated last month
- Paper Lists for Graph Neural Networks☆2,233Updated last year
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,502Updated last month
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆2,956Updated last year
- PyTorch tutorials.☆8,346Updated this week
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,754Updated 11 months ago
- A PyTorch implementation of the Transformer model in "Attention is All You Need".☆8,980Updated 9 months ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,745Updated last year
- Implementation and experiments of graph embedding algorithms.☆3,758Updated 10 months ago
- Generate embeddings from large-scale graph-structured data.☆3,394Updated 10 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,569Updated last week
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,487Updated 2 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,190Updated 7 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,655Updated last week
- Implementation of Graph Auto-Encoders in TensorFlow☆1,659Updated 5 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆22,626Updated 2 months ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,098Updated 6 months ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,708Updated 3 months ago
- A comprehensive collection of recent papers on graph deep learning☆3,075Updated 4 years ago