An autoML framework & toolkit for machine learning on graphs.
☆1,137Nov 20, 2025Updated 4 months ago
Alternatives and similar repositories for AutoGL
Users that are interested in AutoGL are comparing it to the libraries listed below
Sorting:
- A paper collection about automated graph learning☆99Jun 8, 2024Updated last year
- ☆26Dec 29, 2022Updated 3 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,245Jul 31, 2025Updated 7 months ago
- A library for graph deep learning research☆2,002Jul 15, 2024Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,818Feb 1, 2024Updated 2 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,650Jun 22, 2023Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,077May 6, 2025Updated 10 months ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,877Nov 10, 2023Updated 2 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆182Jul 6, 2023Updated 2 years ago
- Graph Neural Network Library for PyTorch☆23,565Updated this week
- Python library assists deep learning on graphs☆569Nov 24, 2025Updated 3 months ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆473Aug 14, 2023Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆1,054Jul 29, 2023Updated 2 years ago
- Graph Neural Networks with Keras and Tensorflow 2.☆2,394Jan 21, 2024Updated 2 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.…☆1,686Jun 24, 2024Updated last year
- links to conference publications in graph-based deep learning☆5,037Feb 7, 2026Updated last month
- StellarGraph - Machine Learning on Graphs☆3,047Apr 10, 2024Updated last year
- Generate embeddings from large-scale graph-structured data.☆3,459Mar 3, 2024Updated 2 years ago
- ☆17May 2, 2022Updated 3 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,713Feb 2, 2024Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Jul 6, 2023Updated 2 years ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,329Aug 8, 2025Updated 7 months ago
- Must-read papers on graph neural networks (GNN)☆16,735Dec 20, 2023Updated 2 years ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,347Jul 3, 2024Updated last year
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆302Aug 17, 2023Updated 2 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,961Sep 18, 2025Updated 6 months ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,805Mar 18, 2023Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- A collection of research papers and software related to explainability in graph machine learning.☆1,986Apr 4, 2022Updated 3 years ago
- 🤖 A Python library for learning and evaluating knowledge graph embeddings☆1,958Dec 17, 2025Updated 3 months ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,187Jul 31, 2022Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆474Dec 7, 2022Updated 3 years ago
- Fast and Accurate ML in 3 Lines of Code☆10,107Updated this week
- Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.☆147Jul 26, 2021Updated 4 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Jun 12, 2025Updated 9 months ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆498Jul 25, 2024Updated last year
- A Graph Neural Network Library in Jax☆1,465Mar 18, 2024Updated 2 years ago
- Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle☆1,590Dec 11, 2023Updated 2 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,426Jun 7, 2024Updated last year