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Codes for paper 'Htgtm: Hybrid Temporal-Graph Tabular Model For Complex Multimodal Tabular Data Processing' (http://dx.doi.org/10.1109/MLSP55844.2023.10285918)

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Codes for paper 'Htgtm: Hybrid Temporal-Graph Tabular Model For Complex Multimodal Tabular Data Processing' (http://dx.doi.org/10.1109/MLSP55844.2023.10285918)

Context:

The paper is the winner of IEEE MLSP 2023 Data Challenge: Volunteer Retention (https://www.kaggle.com/competitions/MLSP2023-volunteers-01).

To run the codes:

Please place the following files in this folder: "retention_train_feat.csv", "retention_test_feat.csv" and "retention_gt_train.csv"

The files "gdforeign_ma.csv" and "gdlocal_ma.csv" contain the 7-day moving average of Guangdong's imported COVID-19 cases and locally transmitted COVID-19 cases, respectively.

"user_id_remapping.pkl" contains a mapping from user_id to data index. Additionally, "train_index.pkl" and "val_index.pkl" are used to split the original training dataset into a new training set and a holdout validation set.

Please use "htgtm.ipynb" to obtain an evaluation on the holdout validation set.

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Codes for paper 'Htgtm: Hybrid Temporal-Graph Tabular Model For Complex Multimodal Tabular Data Processing' (http://dx.doi.org/10.1109/MLSP55844.2023.10285918)

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