An autoML framework & toolkit for machine learning on graphs.
☆1,143Nov 20, 2025Updated 10 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
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆99Jan 12, 2021Updated 5 years ago
- A library for graph deep learning research☆2,010Jul 15, 2024Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,281Jul 31, 2025Updated last year
- 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.
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,820Feb 1, 2024Updated 2 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,670Jun 22, 2023Updated 3 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,098May 6, 2025Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,909Nov 10, 2023Updated 2 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆183Jul 6, 2023Updated 3 years ago
- Graph Neural Network Library for PyTorch☆24,112Updated this week
- Python library assists deep learning on graphs☆574Nov 24, 2025Updated 10 months ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Aug 14, 2023Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆1,071Jul 29, 2023Updated 3 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.
- Graph Neural Networks with Keras and Tensorflow 2.☆2,396Jan 21, 2024Updated 2 years ago
- ☆18May 2, 2022Updated 4 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.…☆1,688Jun 24, 2024Updated 2 years ago
- links to conference publications in graph-based deep learning☆5,101Sep 28, 2026Updated last week
- StellarGraph - Machine Learning on Graphs☆3,061Apr 10, 2024Updated 2 years ago
- Generate embeddings from large-scale graph-structured data.☆3,452Mar 3, 2024Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆331Jul 6, 2023Updated 3 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,726Feb 2, 2024Updated 2 years ago
- Must-read papers on graph neural networks (GNN)☆16,845Dec 20, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,335Jul 6, 2026Updated 3 months ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,368Jul 3, 2024Updated 2 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,992May 30, 2026Updated 4 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆401Jun 17, 2024Updated 2 years ago
- A collection of research papers and software related to explainability in graph machine learning.☆1,993Apr 4, 2022Updated 4 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,802Mar 18, 2023Updated 3 years ago
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆306Aug 17, 2023Updated 3 years ago
- 🤖 A Python library for learning and evaluating knowledge graph embeddings☆2,043Updated this week
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,187Jul 31, 2022Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆476Dec 7, 2022Updated 3 years ago
- 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
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆358Jun 12, 2025Updated last year
- Fast and Accurate ML in 3 Lines of Code☆10,765Updated this week
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆501Jul 25, 2024Updated 2 years ago
- A Graph Neural Network Library in Jax☆1,474Mar 18, 2024Updated 2 years ago
- Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle☆1,584Dec 11, 2023Updated 2 years ago