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Jun, 2023
TNPAR: 基于拓扑神经泊松自回归模型的事件序列马尔科夫网络格兰杰因果结构学习
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
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Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan...
TL;DR
本文提出了一个基于拓扑神经Poisson自回归模型、使用amortized推理算法解决非独立同分布事件序列的Granger因果关系推导问题的端到端框架。
Abstract
Learning
granger causality
from
event sequences
is a challenging but essential task across various applications. Most existing methods rely on the assumption that
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