graph-structure-learning 0.1.1

Extracting graphs from signals on nodes

Graph learning

Collection of models for learning networks from signals.

Clustering methods follow the sklearn API.

Installation

Clone the git repository and install with pip:

git clone https://github.com/LTS4/graph-learning.git
cd graph-learning
pip install .

References

Smooth learning

V. Kalofolias, “How to Learn a Graph from Smooth Signals,” in Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, May 2016, pp. 920–929. doi: 10.48550/arXiv.1601.02513.

GLMM

H. P. Maretic and P. Frossard, “Graph Laplacian mixture model,” arXiv:1810.10053 [cs, stat], Mar. 2020, Accessed: Mar. 31, 2022. [Online]. Available: http://arxiv.org/abs/1810.10053

k-Graphs

H. Araghi, M. Sabbaqi, and M. Babaie–Zadeh, “$K$-Graphs: An Algorithm for Graph Signal Clustering and Multiple Graph Learning,” IEEE Signal Processing Letters, vol. 26, no. 10, pp. 1486–1490, Oct. 2019, doi: 10.1109/LSP.2019.2936665.