Пакунок: python3-torch-cluster (1.6.3-2)

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Homepage [github.com]

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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.

Інші пакунки пов'язані з python3-torch-cluster

depends

recommends

suggests

enhances

dep: libc6 (>= 2.32)

Бібліотека GNU C: спільні бібліотеки
also a virtual package provided by libc6-udeb
dep: libgcc-s1 (>= 3.0)

Допоміжна бібліотека GCC
dep: libstdc++6 (>= 14)

Стандартна бібліотека C++ GNU, версії 3
dep: libtorch2.6 (>= 2.6.0+dfsg)

Tensors and Dynamic neural networks in Python (Shared Objects)
dep: python3

interactive high-level object-oriented language (default python3 version)

dep: python3 (<< 3.14)

dep: python3 (>= 3.13~)
dep: python3-scipy

scientific tools for Python 3
dep: python3-torch

Tensors and Dynamic neural networks in Python (Python Interface)

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amd64	322.8 kB	2,173.0 kB	[список файлів]
arm64	295.7 kB	2,535.0 kB	[список файлів]
ppc64el	319.3 kB	2,789.0 kB	[список файлів]
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