MUTAG

A new study from arXiv (2607.26344v1) reveals that gradient-based explainers for graph neural networks (GNNs) produce arbitrary top-k explanations when the input graph has automorphisms, such as chemi…

A new modular Context-Augmented Prompting framework boosts small language model accuracy in molecular property predictions by up to 74% on the Tox21 dataset, using graph-derived context from a trained…

A new Context-Augmented Prompting framework improves molecular property prediction in small language models by integrating graph-based tools, achieving up to 74% relative accuracy gains on Tox21, thou…