THUMNLab / AutoGLLinks
An autoML framework & toolkit for machine learning on graphs.
☆1,117Updated last year
Alternatives and similar repositories for AutoGL
Users that are interested in AutoGL are comparing it to the libraries listed below
Sorting:
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,795Updated last year
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆534Updated 2 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆469Updated 2 years ago
- A library for graph deep learning research☆1,984Updated last year
- Python library assists deep learning on graphs☆566Updated last year
- A PyTorch Graph Neural Network Library☆374Updated last week
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,032Updated 4 months ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,320Updated last month
- GraphVite: A General and High-performance Graph Embedding System☆1,259Updated last year
- Materials for DGL hands-on tutorial in WWW 2020☆503Updated 4 years ago
- Library of graph clustering algorithms☆755Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,831Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆300Updated 2 years ago
- Visualization tool for Graph Neural Networks☆253Updated 2 years ago
- Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)