Package: wnpp
Owner: Andrius Merkys <mer...@debian.org>
Severity: wishlist
Control: block 970575 by -1
* Package name : pytorch-cluster
Version : 1.6.1
Upstream Author : Matthias Fey
* URL : https://github.com/rusty1s/pytorch_cluster
* License : Expat
Programming Lang: C
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.
pytorch-cluster is a test dependency for pytorch-geometric (ITP bug
#970575).
Remark: This package is to be maintained with Debian Deep Learning Team at
https://salsa.debian.org/deeplearning-team/pytorch-cluster