Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs - researchr publication authors

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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]

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