Causal Discovery

Learning to refine domain knowledge for biological network inference
Learning to refine domain knowledge for biological network inference

We propose an amortized inference algorithm for refining domain knowledge towards biological network inference.

Oct 28, 2024

RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model

RealTCD is a novel framework for temporal causal discovery in industrial scenarios, which is able to leverage domain knowledge to discover temporal causal relationships without interventional targets.

Apr 23, 2024

Causal Discovery in Temporal Domain from Interventional Data

Oct 1, 2023