Few shot learning

• AttFPGNN: Meta Learning with Attention Based FP-GNNs for Few-Shot Molecular Property Prediction
  

  

• FS-Mol: A Few-Shot Learning Dataset of Molecules
  

• Few-Shot-Learning-for-Low-Data-Drug-Discovery: Low Data Drug Discovery with One-Shot Learning
  

  

• FewGS: This repository contains source code and datasets for "Few-Shot Graph and SMILES Learning for Molecular Property Prediction."
  

• KRGTS: Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
  

  

• MHNfs: Context-enriched molecule representations improve few-shot drug discovery, available on HuggingFace
  

  

• Meta-MGNN:
  

• MolFesCue: molecular property prediction in Data-Limited and imbalanced contexts using Few-Shot and contrastive learning
  

• PG-DERN: Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
  

  

LLM

• MolecularGPT: MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction