Graphlearn-for-PyTorch, distributed graph learning on PyTorch
Hello HN, We are pleased to introduce you graphlearn-for-pytorch (https://github.com/alibaba/graphlearn-for-pytorch), an open-source distributed graph neural network library based on PyTorch and compatible with PyG. Our library is designed to make it easy for developers to build and train large-scale graph models in a distributed environment. With graphlearn-for-pytorch, you can leverage GPUs to accelerate graph sampling and utilize UVA to reduce the overheads of feature collection. Following a scalable design, graphlearn-for-pytorch supports training GNN models on…
Graphlearn-for-PyTorch, distributed graph learning on PyTorch launched on May 16, 2023 with 9 votes, #1,746 of 4,910 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 3 years on.
What it does
A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference. - alibaba/graphlearn-for-pytorch
In the maker’s words, at launch
Hello HN, We are pleased to introduce you graphlearn-for-pytorch (https://github.com/alibaba/graphlearn-for-pytorch), an open-source distributed graph neural network library based on PyTorch and compatible with PyG. Our library is designed to make it easy for developers to build and train…
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