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multivariate hawkes process for large dataset

Reference

[1]H. Mei and J. Eisner, “The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process,” arXiv:1612.09328 [cs, stat], Nov. 2017, Accessed: Jun. 23, 2021. [Online]. Available: http://arxiv.org/abs/1612.09328

[2]X. He, T. Rekatsinas, J. Foulds, L. Getoor, and Y. Liu, “HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades,” p. 10.

[3]Y. Rong, Q. Zhu, and H. Cheng, “A Model-Free Approach to Infer the Diffusion Network from Event Cascade,” in Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, Indianapolis Indiana USA, Oct. 2016, pp. 1653–1662. doi: 10.1145/2983323.2983718.

[4]A. Khodadadi, S. A. Hosseini, E. Tavakoli, and H. R. Rabiee, “Continuous-Time User Modeling in Presence of Badges: A Probabilistic Approach,” ACM Trans. Knowl. Discov. Data, vol. 12, no. 3, pp. 1–30, Apr. 2018, doi: 10.1145/3162050.