3 papers
cs.LG2026
GraphNOSE: A Graph Transformer in Olfaction
Mrityunjay Sharma, Sarabeshwar Balaji, Valentina Parma +1
Predicting olfactory qualities from molecular structure is an open problem in chemoinformatics. Although linear models can link molecular features to odor descriptors, they often f…
cs.LG2026
On Preserving Geometrical Invariance for Superpixel Image Classification using Graph Transformer
Sarabeshwar Balaji, Shubham Mohanty, Akash Anil
Convolutional Neural Network (CNN) and Vision Transformer (ViT) for image classification exploit a dense grid of pixels containing redundant information. Consequently, for a larger…
cs.LG2025
Navigating the Fragrance space Via Graph Generative Models And Predicting Odors
Mrityunjay Sharma, Sarabeshwar Balaji, Pinaki Saha +1
We explore a suite of generative modelling techniques to efficiently navigate and explore the complex landscapes of odor and the broader chemical space. Unlike traditional approach…