套件：python3-torch-geometric（2.3.1-1）
python3-torch-geometric 的相關連結
Debian 的資源：
下載原始碼套件 pytorch-geometric：
- [pytorch-geometric_2.4.0-1.dsc]
- [pytorch-geometric_2.4.0.orig.tar.gz]
- [pytorch-geometric_2.4.0-1.debian.tar.xz]
維護小組：
外部的資源：
- 主頁 [github.com]
相似套件：
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.
It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds.
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