IEEE/ICACT20230179 Slide.11        [Big Slide]       [YouTube] Oral Presentation
In terms of scale prediction task, when comparing methods, we clearly see that The prediction precision of NEWER is slightly improved relative to feature-based linear regression. DeepHawkes and CasCN are comparable in performance. Although DeepHawkes chooses more adequate features, it makes a trade-off between prediction performance and interpretability rather than purely pursuing accuracy. Our proposed TEIC achieves excellent prediction results, with MSLE = 2.066 on Sina Weibo and MSLE = 1.639 on OAG 2.0 when the observation window equals 3 hours and 7 years respectively.

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