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[ 源代码： pytorch-cluster ]
软件包：python3-torch-cluster（1.6.3-2）
python3-torch-cluster 的相关链接
下载源码包 pytorch-cluster：
- [pytorch-cluster_1.6.3-2.debian.tar.xz]
- [pytorch-cluster_1.6.3-2.dsc]
- [pytorch-cluster_1.6.3.orig.tar.gz]
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 Library: Shared libraries
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 support library
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- dep: libstdc++6 (>= 14)
- GNU Standard C++ Library v3
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- dep: libtorch2.6 (>= 2.6.0+dfsg)
- Tensors and Dynamic neural networks in Python (Shared Objects)
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.14)
- dep: python3 (>= 3.13~)
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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)