@@ -17,7 +17,7 @@ This package consists of a small extension library of highly optimized graph clu
The package consists of the following clustering algorithms:
***[Graclus](#graclus)** from Dhillon *et al.*: [Weighted Graph Cuts without Eigenvectors: A Multilevel Approach](http://www.cs.utexas.edu/users/inderjit/public_papers/multilevel_pami.pdf)(PAMI 2007)
***[VoxelGrid](#voxelgrid)**
***[VoxelGrid Pooling](#voxelgrid)** from, *e.g.*, Simonovsky and Komodakis: [Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs](https://arxiv.org/abs/1704.02901)(CVPR 2017)
All included operations work on varying data types and are implemented both for CPU and GPU.