THUDM/CogDL
A comprehensive PyTorch library for graph neural network research and experimentation.
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CogDL is a graph deep learning toolkit that provides optimized operators and easy-to-use APIs for training GNN models on tasks including node classification, graph classification, and link prediction. Built on PyTorch, it enables researchers to easily run experiments with baseline or custom models using hyperparameter search, and supports extensibility for applying graph neural networks to new scenarios.
Frequently asked
- What is THUDM/CogDL?
- A comprehensive PyTorch library for graph neural network research and experimentation.
- Is CogDL open source?
- Yes — THUDM/CogDL is open source, released under the MIT license.
- What language is CogDL written in?
- THUDM/CogDL is primarily written in Python.
- How popular is CogDL?
- THUDM/CogDL has 1.8k stars on GitHub.
- Where can I find CogDL?
- THUDM/CogDL is on GitHub at https://github.com/THUDM/CogDL.