SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings.

@inproceedings{zhou-2021-sedyt, author = {Hongkuan Zhou and James Orme-Rogers and Rajgopal Kannan and Viktor K. Prasanna}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {3667--3671}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482177}, doi = {https://doi.org/10.1145/3459637.3482177} }