basicrfm
Matlab implementation of "Random function priors for exchangeable arrays with applications to graphs and relational data" by Lloyd et al (2012)
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (13.0%) to scientific vocabulary
Repository
Matlab implementation of "Random function priors for exchangeable arrays with applications to graphs and relational data" by Lloyd et al (2012)
Basic Info
- Host: GitHub
- Owner: adiehl96
- License: gpl-3.0
- Language: MATLAB
- Default Branch: main
- Size: 747 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 3
- Releases: 0
Metadata Files
README.md
BasicRFM
This repository contains code to perform inference in the random function model as described in:
Random function priors for exchangeable arrays with applications to graphs and relational data
James Robert Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel Roy
Neural Information Processing Systems, 2012
The paper can be found on nips.cc.
Usage
- Change your Matlab working directory to this folder.
- Open highschoolpredict.m or highschoolplot.m or clique_plot.m.
- Run the code.
Contact James Robert Lloyd for more information if required.
Warning
Exit Matlab after every execution to reset the environment. If you run the code repeatedly without exiting Matlab in between, the results will deviate from the published results.
Original Code
The code in the main branch is cleaned, with any superfluous code removed. The full original code can be downloaded from the website of the first author or from github. Alternatively, it can be viewed on the branch original. The only changes done on the branch original are the following:
* Added .gitignore files to the directories DataFolds and PartialResults. These are empty directories that hold temporary files, which are needed to run the code.
* Fixed the geweke test code, changes can be viewed here. It should be mentioned, that Geweke Testing does not seem to be fully implemented.
License
Copyright (C) 2013, James Robert Lloyd
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
Owner
- Name: Arne Diehl
- Login: adiehl96
- Kind: user
- Location: Nijmegen
- Repositories: 11
- Profile: https://github.com/adiehl96
Master student AI @ Radboud University, machine learning enthusiast, will hopefully automate my own job away
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
preferred-citation:
type: conference-paper
authors:
- family-names: "Lloyd"
given-names: "James Robert"
orcid: ""
- family-names: "Orbanz"
given-names: "Peter"
orcid: ""
- family-names: "Ghahramani"
given-names: "Zoubin"
orcid: ""
- family-names: "Roy"
given-names: "Daniel"
orcid: "https://orcid.org/0000-0001-8930-0058"
title: "Random function priors for exchangeable arrays with applications to graphs and relational data"
volume: 25
year: 2012
url: "https://proceedings.neurips.cc/paper/2012/file/df6c9756b2334cc5008c115486124bfe-Paper.pdf"