alibaba/euler
A distributed C++ framework for training and serving graph neural network models at scale.
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Euler is Alibaba’s graph deep learning platform designed for large-scale distributed training and inference of graph neural networks. It provides support for various GNN architectures including GCN, GraphSAGE, and heterogeneous graph models, along with a GQL graph query interface and message passing APIs. The framework includes utilities for graph sampling, embeddings, and node2vec-style random walk computations.
Frequently asked
- What is alibaba/euler?
- A distributed C++ framework for training and serving graph neural network models at scale.
- Is euler open source?
- Yes — alibaba/euler is open source, released under the Apache-2.0 license.
- What language is euler written in?
- alibaba/euler is primarily written in C++.
- How popular is euler?
- alibaba/euler has 2.9k stars on GitHub.
- Where can I find euler?
- alibaba/euler is on GitHub at https://github.com/alibaba/euler.