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The availability of large scale event data with time stamps has given rise to dynamically evolving knowledge graphs that contain temporal information for each edge.
Spectra of some self-exciting and mutually exciting point processes
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Embedding entities and relations for learning and inference in knowledge bases
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Wang, Zhen, Zhang, Jianwen, Feng, Jianlin, and Chen, Zheng · 2014
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Discriminative embeddings of latent variable models for structured data
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Encoding temporal information for time-aware link prediction
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Probabilistic reasoning via deep learning: Neural association models
Liu, Quan, Jiang, Hui, Evdokimov, Andrew, Ling, Zhen-Hua, Zhu, Xiaodan, Wei, Si, and Hu, Yu · 2016
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Bayesian poisson tucker decomposition for learning the structure of international relations
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Icews coded event data
Boschee, Elizabeth, Lautenschlager, Jennifer, O’Brien, Sean, Shellman, Steve, Starz, James, and Ward, Michael · 2017
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Leveraging temporal autocorrelation of historical data for improving accuracy in network regression
Loglisci, Corrado and Malerba, Donato · 2017
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