Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction

Documenti analoghi

• GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
  di: Liu, Pengfei, et al.
  Pubblicazione: (2023)
• TwinBooster: Synergising Large Language Models with Barlow Twins and Gradient Boosting for Enhanced Molecular Property Prediction
  di: Schuh, Maximilian G., et al.
  Pubblicazione: (2024)
• MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction
  di: Edwards, Carl, et al.
  Pubblicazione: (2024)
• A Large-Scale Dataset for Molecular Structure-Language Description via a Rule-Regularized Method
  di: Cai, Feiyang, et al.
  Pubblicazione: (2026)
• MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension
  di: Lu, Xingyu, et al.
  Pubblicazione: (2024)