BiScale-GTR: Fragment-Aware Graph Transformers for Multi-Scale Molecular Representation Learning

Graph Transformers have recently attracted attention for molecular property prediction by combining the inductive biases of graph neural networks (GNNs) with the global receptive field of Transformers. However, many existing hybrid architectures remain GNN-dominated, causing the resulting representa…

View Post on Scour ↗

More from arxiv.org on Scour.