Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs

Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, Volker Tresp. Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021. pages 8352-8364, Association for Computational Linguistics, 2021. [doi]

@inproceedings{HanDMGT21,
  title = {Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs},
  author = {Zhen Han and Zifeng Ding and Yunpu Ma and Yujia Gu and Volker Tresp},
  year = {2021},
  url = {https://aclanthology.org/2021.emnlp-main.658},
  researchr = {https://researchr.org/publication/HanDMGT21},
  cites = {0},
  citedby = {0},
  pages = {8352-8364},
  booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021},
  editor = {Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih},
  publisher = {Association for Computational Linguistics},
}