Large Language Model

CaLMol: Disentangled Causal Graph LLM for Molecular Relational Learning
CaLMol: Disentangled Causal Graph LLM for Molecular Relational Learning

We propose CaLMol, capable of exploiting causal molecular relationships to predict interactions for new drugs.

Sep 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