EventFormer: a hierarchical neural point process framework for spatio-temporal clustering events prediction

Abstract In real-world scenarios, event data often exhibits inherent randomness, complex historical dependencies, and hierarchical spatio-temporal clustering. However, existing neural point process models typically overlook the hierarchical nature of spatial information, or treat temporal and spatia...

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Principais autores:	Shanshan Yu, Danhuai Guo, Yanjie Fu, Wei Jin
Format:	Artigo
Jezik:	Inglês
Izdano:	SpringerOpen 2025-07-01
Serija:	Journal of Big Data
Teme:	Event sequence prediction Neural point process Hierarchical spatio-temporal clustering Attention mechanism
Online dostop:	https://doi.org/10.1186/s40537-025-01232-4
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