THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences

Learning causal structure among event types on multitype event sequences is an important but challenging task. Existing methods, such as the Multivariate Hawkes processes, mostly assumed that each sequence is independent and identically distributed. However, in many real-world applications, it is co...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2024-01, Vol.35 (1), p.479-493
Hauptverfasser:	Cai, Ruichu, Wu, Siyu, Qiao, Jie, Hao, Zhifeng, Zhang, Keli, Zhang, Xi
Format:	Artikel
Sprache:	eng
Schlagworte:	Causal structure learning Cause effect analysis Convolution Convolutional neural networks Domains Error detection event sequences Learning Learning systems Symmetric matrices Theoretical analysis Time-domain analysis topological Hawkes processes (THPs) Topology Toy manufacturing industry
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