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  license: cc-by-4.0
 
 
 
 
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  # Personal and Relational Event Sequence Datasets
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- This dataset collection supports research on modeling **personal** and **relational** event sequences. It is organized into two main folders: `processed/` and `tasks/`.
 
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  ---
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  Leskovec, J., & Krevl, A. (2014). *SNAP Datasets: Stanford large network dataset collection*. http://snap.stanford.edu/data
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- McAuley, J., Targett, C., Shi, Q., & Van Den Hengel, A. (2015). *Image-based recommendations on styles and substitutes*. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 43–52.
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  license: cc-by-4.0
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+ language:
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+ - en
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+ size_categories:
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+ - 10M<n<100M
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  ---
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  # Personal and Relational Event Sequence Datasets
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+ This dataset collection supports research on modeling **personal** and **relational** event sequences, as referred in our LoG 2025 paper: [Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks](https://arxiv.org/abs/2510.11903).
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+ It is organized into two main folders: `processed/` and `tasks/`.
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  ---
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  Leskovec, J., & Krevl, A. (2014). *SNAP Datasets: Stanford large network dataset collection*. http://snap.stanford.edu/data
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+ McAuley, J., Targett, C., Shi, Q., & Van Den Hengel, A. (2015). *Image-based recommendations on styles and substitutes*. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 43–52.
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+ ## Citation
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+ If you use this dataset, please cite the following paper
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+
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+ ```bibtex
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+ @article{fathony2025integrating,
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+ title={Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks},
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+ author={Fathony, Rizal and Melnyk, Igor and Reinert, Owen and Nguyen, Nam H and Rosa, Daniele and Bruss, C Bayan},
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+ journal={Learning on Graphs Conference 2025},
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+ year={2025}
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+ }