deb_control_files:
- control
- md5sums
- postinst
- prerm
deb_fields:
Architecture: amd64
Depends: python3-torch, python3 (<< 3.13), python3 (>= 3.12~), python3-scipy, python3:any,
libc6 (>= 2.32), libgcc-s1 (>= 3.0), libstdc++6 (>= 14), libtorch2.5 (>= 2.5.0+dfsg)
Description: |-
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.
Homepage: https://github.com/rusty1s/pytorch_cluster
Installed-Size: '2173'
Maintainer: Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Multi-Arch: foreign
Package: python3-torch-cluster
Priority: optional
Section: science
Source: pytorch-cluster (1.6.3-1)
Version: 1.6.3-1+b3
srcpkg_name: pytorch-cluster
srcpkg_version: 1.6.3-1