Code underlying the publication: Online graph filter design over expanding graphs
DOI: 10.4121/aabf6ecd-ce11-4427-9fbc-9a769e16de49
Datacite citation style
Software
Categories
Licence MIT
Research Objective is to design online algorithms for graph filter design over expanding graphs under conditions of known and unknown connectivity. The data-sets used in this paper are available online. Code for generating synthetic data is included. In the folder Recsys_new, the experimental setup and online algorithms for movie rating prediction for Movielens100k is provided. In the folder Stochastic_Synthetic_New, the experimental setup and online algorithms for signal interpolation for synthetic expanding graphs is included. In Stochastic_covid, the code for Covid case count prediction over a growing city network is provided.
History
- 2024-11-13 first online, published, posted
Publisher
4TU.ResearchDataFormat
.mat files, .m filesAssociated peer-reviewed publication
Online Graph Filtering Over Expanding GraphsCode hosting project url
https://github.com/BD26992/Filtering-explanding-graph-signalsFunding
- Graph Signal Processing in Action NWO
Organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent SystemsTo access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/d97a97df-0f71-4581-b081-6262eaee2082.git "Filtering-explanding-graph-signals"