An autoML framework & toolkit for machine learning on graphs.
☆1,144Nov 20, 2025Updated 11 months ago
Alternatives and similar repositories for AutoGL
Users that are interested in AutoGL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A paper collection about automated graph learning☆99Jun 8, 2024Updated 2 years ago
- ☆29Dec 29, 2022Updated 3 years ago
- ☆14Jun 16, 2024Updated 2 years ago
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆99Jan 12, 2021Updated 5 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,286Jul 31, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A library for graph deep learning research☆2,009Jul 15, 2024Updated 2 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,819Feb 1, 2024Updated 2 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,909Nov 10, 2023Updated 2 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,670Jun 22, 2023Updated 3 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆183Jul 6, 2023Updated 3 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,100May 6, 2025Updated last year
- Graph Neural Network Library for PyTorch☆24,128Oct 21, 2026Updated last week
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Aug 14, 2023Updated 3 years ago
- Python library assists deep learning on graphs☆574Nov 24, 2025Updated 11 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,993May 30, 2026Updated 4 months ago
- Graph Neural Networks with Keras and Tensorflow 2.☆2,397Jan 21, 2024Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆1,072Jul 29, 2023Updated 3 years ago
- Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.…☆1,690Jun 24, 2024Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification" (ICLR 2020)☆402Jun 17, 2024Updated 2 years ago
- links to conference publications in graph-based deep learning☆5,108Oct 20, 2026Updated last week
- StellarGraph - Machine Learning on Graphs☆3,065Apr 10, 2024Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,727Feb 2, 2024Updated 2 years ago
- Generate embeddings from large-scale graph-structured data.☆3,455Mar 3, 2024Updated 2 years ago
- 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.
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆305Aug 17, 2023Updated 3 years ago
- Must-read papers on graph neural networks (GNN)☆16,847Dec 20, 2023Updated 2 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,806Mar 18, 2023Updated 3 years ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,337Jul 6, 2026Updated 3 months ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆477Dec 7, 2022Updated 3 years ago
- ☆18May 2, 2022Updated 4 years ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,367Jul 3, 2024Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆331Jul 6, 2023Updated 3 years ago
- A collection of research papers and software related to explainability in graph machine learning.☆1,995Apr 4, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.☆145Jul 26, 2021Updated 5 years ago
- 🤖 A Python library for learning and evaluating knowledge graph embeddings☆2,047Updated this week
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,189Jul 31, 2022Updated 4 years ago
- Fast and Accurate ML in 3 Lines of Code☆10,798Updated this week
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆501Jul 25, 2024Updated 2 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,481Sep 26, 2026Updated last month
- A pytorch adversarial library for attack and defense methods on images and graphs☆1,084Jun 26, 2025Updated last year