dmlc / dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
☆13,552Updated last month
Related projects ⓘ
Alternatives and complementary repositories for dgl
- Graph Neural Network Library for PyTorch☆21,402Updated this week
- Implementation of Graph Convolutional Networks in TensorFlow☆7,146Updated last year
- Must-read papers on graph neural networks (GNN)☆16,042Updated 11 months ago
- Graph Convolutional Networks in PyTorch☆5,200Updated 4 years ago
- links to conference publications in graph-based deep learning☆4,815Updated this week
- Build Graph Nets in Tensorflow☆5,362Updated last year
- Repository for benchmarking graph neural networks☆2,525Updated last year
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,237Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,428Updated 3 months ago
- Generate embeddings from large-scale graph-structured data.☆3,387Updated 8 months ago
- Paper Lists for Graph Neural Networks☆2,214Updated 10 months ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,758Updated last year
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆2,917Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,945Updated 9 months ago
- StellarGraph - Machine Learning on Graphs☆2,950Updated 7 months ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,871Updated this week
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,733Updated 9 months ago
- Implementation and experiments of graph embedding algorithms.☆3,722Updated 8 months ago
- Model interpretability and understanding for PyTorch☆4,935Updated this week
- A hyperparameter optimization framework☆10,939Updated this week
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,726Updated last year
- Implementation of Graph Auto-Encoders in TensorFlow☆1,647Updated 4 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆22,439Updated last week
- Graph Neural Networks with Keras and Tensorflow 2.☆2,372Updated 9 months ago
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆28,423Updated this week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,265Updated 2 months ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,415Updated 2 weeks ago
- A comprehensive collection of recent papers on graph deep learning☆3,073Updated 3 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,524Updated this week
- An open-source NLP research library, built on PyTorch.☆11,759Updated last year