@id | https://doi.org/10.4225/59/59e3d6d08faa9 |
---|---|
name | GTM |
@type | Dataset |
description | This demo is the sampling inference for Graph Topic Model, and more details about this model can be found in the following reference: @ARTICLE{7015568, author={J. Xuan and J. Lu and G. Zhang and X. Luo}, journal={IEEE Transactions on Cybernetics}, title={Topic Model for Graph Mining}, year={2015}, volume={45}, A Markov chain Monte Carlo (MCMC) algorithm is developed and implemented to inference the Graph Topic Model (GTM). GTM is a probabilistic graphical model for the data represented by graph structure, e.g., chemical formulas or documents. |
datePublished | 2018-03-10 |
creator | |
path | ./ |
citation | Topic Model for Graph Mining |
hasPart | |
identifier |
|
license | GPL 3 |
publisher | University of Technology Sydney |
distribution | https://data.research.uts.edu.au/examples/ro-crate/0.2GTM.zip |
@id | http://orcid.org/0000-0002-8367-6908 |
---|---|
name | J. Xuan |
familyName | Xuan |
givenName | J |
@type | Person |
affiliation | University of Technology Sydney |
Referenced by | |
creator | |
identifier | http://orcid.org/0000-0002-8367-6908 |
@id | http://orcid.org/0000-0003-0690-4732 |
---|---|
name | J. Lu |
familyName | Lu |
givenName | J |
@type | Person |
affiliation | University of Technology Sydney |
Referenced by | |
creator | |
identifier | http://orcid.org/0000-0003-0690-4732 |
@id | http://orcid.org/0000-0003-3960-0583 |
---|---|
name | G. Zhang |
familyName | Zhang |
givenName | G |
@type | Person |
affiliation | University of Technology Sydney |
Referenced by | |
creator | |
identifier | http://orcid.org/0000-0003-3960-0583 |
@id | https://orcid.org/0000-0002-6953-3986 |
---|---|
name | X. Luo |
familyName | Luo |
givenName | X |
@type | Person |
affiliation | University of Technology Sydney |
Referenced by | |
creator | |
identifier | https://orcid.org/0000-0002-6953-3986 |
@id | http://dx.doi.org/10.1109/TCYB.2014.2386282 |
---|---|
name | Topic Model for Graph Mining |
@type | ScholarlyArticle |
datePublished | 2015 |
creator | |
Referenced by | |
citation | |
journal | IEEE Transactions on Cybernetics |
identifier |
|
issn | 2168-2267 |
@id | data/gtm_gs.m |
---|---|
name | gtm_gs.m |
@type | File |
isPartOf | GTM |
path | data/gtm_gs.m |
encodingFormat | Plain Text File |
contentSize | 12656 |
fileFormat | http://www.nationalarchives.gov.uk/PRONOM/x-fmt/111 |
license | GPL 3 |
@id | data/LICENSE |
---|---|
name | LICENSE |
@type | File |
isPartOf | GTM |
path | data/LICENSE |
encodingFormat | Plain Text File |
contentSize | 35049 |
fileFormat | http://www.nationalarchives.gov.uk/PRONOM/x-fmt/111 |
license | GPL 3 |
@id | data/README.txt |
---|---|
name | README.txt |
@type | File |
isPartOf | GTM |
path | data/README.txt |
encodingFormat | Plain Text File |
contentSize | 984 |
fileFormat | http://www.nationalarchives.gov.uk/PRONOM/x-fmt/111 |
license | GPL 3 |
@id | data/test_gtm.m |
---|---|
name | test_gtm.m |
@type | File |
isPartOf | GTM |
path | data/test_gtm.m |
encodingFormat | Plain Text File |
contentSize | 527 |
fileFormat | http://www.nationalarchives.gov.uk/PRONOM/x-fmt/111 |
license | GPL 3 |
@id | data/GTM |
---|---|
name | GTM |
@type | Dataset |
description | This demo is the sampling inference for Graph Topic Model, and more details about this model can be found in the following reference: @ARTICLE{7015568, author={J. Xuan and J. Lu and G. Zhang and X. Luo}, journal={IEEE Transactions on Cybernetics}, title={Topic Model for Graph Mining}, year={2015}, volume={45}, A Markov chain Monte Carlo (MCMC) algorithm is developed and implemented to inference the Graph Topic Model (GTM). GTM is a probabilistic graphical model for the data represented by graph structure, e.g., chemical formulas or documents. |
isPartOf | GTM |
datePublished | 2018-03-10 |
creator | |
path | data/GTM |
citation | Topic Model for Graph Mining |
hasPart | |
identifier | ./GTM |
license | GPL 3 |
publisher | University of Technology Sydney |
@id | https://www.gnu.org/licenses/gpl-3.0.en.html |
---|---|
name | GPL 3 |
@type | Thing |
description | GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 |
Referenced by | |
license | |
identifier | https://www.gnu.org/licenses/gpl-3.0.en.html |
@id | https://data.research.uts.edu.au/examples/ro-crate/0.2GTM.zip |
---|---|
@type | DataDownload |
encodingFormat | zip |
Referenced by | |
distribution | GTM |
contentUrl | https://data.research.uts.edu.au/examples/ro-crate/0.2GTM.zip |
This file was created at 1563418927742 by Calcyte which implements the Draft RO-Crate format, version 0.2