Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes

The author introduces Instance-wise Self-Attentive Hawkes Processes (ISAHP) as a deep learning framework to directly infer Granger causality at the event instance level, addressing the limitations of existing models in capturing complex causal structures.