cff-version: 1.2.0
abstract: "<p>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. <span style="background-color: rgb(255, 250, 234);">In the folder Stochastic_Synthetic_New, the experimental setup and online algorithms for signal interpolation for synthetic expanding graphs is included. In </span>Stochastic_covid, the code for Covid case count prediction over a growing city network is provided.</p><p><br></p>"
authors:
  - family-names: Das
    given-names: Bishwadeep
    orcid: "https://orcid.org/0000-0003-1515-7353"
title: "Code underlying the publication: Online graph filter design over expanding graphs"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/aabf6ecd-ce11-4427-9fbc-9a769e16de49.v1
license: MIT
date-released: 2024-11-13