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[ 源代码： pytorch-cluster ]
软件包：python3-torch-cluster（1.6.3-1 以及其他的）
python3-torch-cluster 的相关链接
Debian 的资源：
下载源码包 pytorch-cluster：
- [pytorch-cluster_1.6.3-1.dsc]
- [pytorch-cluster_1.6.3.orig.tar.gz]
- [pytorch-cluster_1.6.3-1.debian.tar.xz]
维护小组：
外部的资源：
- 主页 [github.com]
相似软件包：
PyTorch extension library of optimized graph cluster algorithms (Python 3)
This package consists of a small extension library of highly optimized graph cluster algorithms for the use in PyTorch. The package consists of the following clustering algorithms:
* Graclus from Dhillon et al.: Weighted Graph Cuts without Eigenvectors: A Multilevel Approach * Voxel Grid Pooling from, e.g., Simonovsky and Komodakis: Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs * Iterative Farthest Point Sampling from, e.g. Qi et al.: PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space * k-NN and Radius graph generation * Clustering based on nearest points * Random Walk Sampling from, e.g., Grover and Leskovec: node2vec: Scalable Feature Learning for Networks
All included operations work on varying data types and are implemented both for CPU and GPU.
This package installs the library for Python 3.
其他与 python3-torch-cluster 有关的软件包
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- dep: libc6 (>= 2.32)
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
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- dep: libgcc-s1 (>= 3.0)
- GCC 支持库
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- dep: libstdc++6 (>= 13.1)
- GNU 标准 C++ 库，第3版
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- dep: libtorch2.1 (>= 2.1.2+dfsg)
- Tensors and Dynamic neural networks in Python (Shared Objects)
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- dep: python3
- 交互式高级面向对象语言（默认 python3 版本）
- dep: python3 (<< 3.12)
- dep: python3 (>= 3.11~)
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- dep: python3-scipy
- scientific tools for Python 3
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- dep: python3-torch
- Tensors and Dynamic neural networks in Python (Python Interface)