An autoML framework & toolkit for machine learning on graphs.
APACHE-2.0 License
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Published by ZW-ZHANG over 2 years ago
v0.3.1 is here!
- We have also released Chinese tutorial for the first time!
- AutoGL now support Deep Graph Library (DGL) backend to be interface-friendly for DGL users! All the homogeneous node classification task, link prediction task, and graph classification task are currently supported under DGL backend. AutoGL is also compatible with PyG 2.0 now.
- The heterogeneous node classification tasks are now supported!
- To make the library more flexible, the module model now supports decoupled to two additional sub-modules named encoder` and decoder
- AutoGL supports neural architecture search (NAS) to customize architectures for the given datasets and tasks.
- The link prediction task is now also supported!
Feel free to open issues and PR!
Published by Frozenmad almost 4 years ago
v0.1.1 is here!
Fix the following bugs in v0.1.0:
Known issues:
pip
):>>> import autogl
>>> autogl.datasets
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'autogl' has no attribute 'dataset'
Please also import the second level package when using (import autogl.datasets
). This bug will be fixed in future version.
Feel free to open issues and PR!
Published by Frozenmad almost 4 years ago
Dear all:
We are happy to release the toolkit we are developing: AutoGL, an autoML framework & toolkit for machine learning on graphs.
AutoGL is developed for researchers and developers to quickly conduct autoML on the graph datasets & tasks. Refer to our documentation for more details. Please have fun playing with this first release and propose issues
or pull request
. Or contact us through [email protected].
AutoNE
in HPO now have some bugs in implementation.