Python package built to ease deep learning on graph, on top of existing DL frameworks.
☆14,289Jul 31, 2025Updated last year
Alternatives and similar repositories for dgl
Users that are interested in dgl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Graph Neural Network Library for PyTorch☆24,130Oct 21, 2026Updated last week
- Must-read papers on graph neural networks (GNN)☆16,847Dec 20, 2023Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,417Apr 14, 2023Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,730Aug 4, 2024Updated 2 years ago
- Build Graph Nets in Tensorflow☆5,408Dec 12, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Graph Convolutional Networks in PyTorch☆5,398Sep 20, 2020Updated 6 years ago
- links to conference publications in graph-based deep learning☆5,109Oct 20, 2026Updated last week
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,100May 6, 2025Updated last year
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,670Jun 22, 2023Updated 3 years ago
- Generate embeddings from large-scale graph-structured data.☆3,455Mar 3, 2024Updated 2 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,559Apr 9, 2022Updated 4 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,819Feb 1, 2024Updated 2 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,124Jul 6, 2023Updated 3 years ago
- Heterogeneous Graph Neural Network☆1,220May 6, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,337Jul 6, 2026Updated 3 months ago
- A distributed graph deep learning framework.☆2,902Aug 19, 2023Updated 3 years ago
- StellarGraph - Machine Learning on Graphs☆3,065Apr 10, 2024Updated 2 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,806Mar 18, 2023Updated 3 years ago
- Implementation and experiments of graph embedding algorithms.☆3,844Apr 26, 2026Updated 6 months ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,434Updated this week
- Simple reference implementation of GraphSAGE.☆1,052May 11, 2020Updated 6 years ago
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆168,390Updated this week
- Google Research☆39,070Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆32,211Sep 30, 2025Updated last year
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,993May 30, 2026Updated 5 months ago
- An Industrial Graph Neural Network Framework☆1,341Jul 4, 2025Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆937Dec 20, 2023Updated 2 years ago
- A comprehensive collection of recent papers on graph deep learning☆3,107Dec 20, 2020Updated 5 years ago
- An open-source NLP research library, built on PyTorch.☆11,883Nov 22, 2022Updated 3 years ago
- Graph Neural Networks with Keras and Tensorflow 2.☆2,397Jan 21, 2024Updated 2 years ago
- An Open-Source Package for Knowledge Embedding (KE)☆4,058Jan 10, 2024Updated 2 years ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,674Sep 17, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- How Powerful are Graph Neural Networks?☆1,286Jul 1, 2021Updated 5 years ago
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,551Updated this week
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,481Sep 26, 2026Updated last month
- A library for efficient similarity search and clustering of dense vectors.☆41,241Updated this week
- A curated list of network embedding techniques.☆2,631Dec 8, 2020Updated 5 years ago
- A library for graph deep learning research☆2,009Jul 15, 2024Updated 2 years ago
- DeepWalk - Deep Learning for Graphs☆2,757Jun 14, 2023Updated 3 years ago