Experiments for TRENCHANT and baselines' trend predictions
@article{doCarmo_ReisFilho_Marcacini_2023,
title={TRENCHANT: TRENd PrediCtion on Heterogeneous informAtion NeTworks},
volume={13},
url={https://sol.sbc.org.br/journals/index.php/jidm/article/view/2546},
DOI={10.5753/jidm.2022.2546},
number={6},
journal={Journal of Information and Data Management},
author={do Carmo, P. and Reis Filho, I. J. and Marcacini, R.},
year={2023},
month={Jan.}
}
GraphEmbeddings submodule based on https://github.com/shenweichen/GraphEmbedding but the used algorithms works with tf 2.x
inside GraphEmbeddings directory from this repository run
python setup.py install
5W1H extraction from https://github.com/fhamborg/Giveme5W1H
GCN submodule based on https://github.com/dbusbridge/gcn_tutorial
metapath2vec stesubmodule based on https://stellargraph.readthedocs.io/en/stable/demos/link-prediction/metapath2vec-link-prediction.html
networks with news from http://soybeansandcorn.com/ available at: https://drive.google.com/drive/folders/1WCyJDCWAt2ud_Mu38mZxNUU66B2bEz3M?usp=sharing
fine-tuned models with entire network data available at hugging face with use guides as follows: https://huggingface.co/paulorvdc/sentencebert-fine-tuned-months-corn https://huggingface.co/paulorvdc/sentencebert-fine-tuned-months-soy https://huggingface.co/paulorvdc/sentencebert-fine-tuned-weeks-corn https://huggingface.co/paulorvdc/sentencebert-fine-tuned-weeks-soy
updates with improvements new experiments, methods, data and usability features will be posted with the research progress. we are also looking into publishing fine-tuned models at https://huggingface.co/