Molecular de novo design is a critical yet challenging task in scientifi...
Many crucial scientific problems involve designing novel molecules with
...
Accurate determination of a small molecule candidate (ligand) binding po...
Retrosynthesis prediction is one of the fundamental challenges in organi...
The notion of word embedding plays a fundamental role in natural languag...
With many frameworks based on message passing neural networks proposed t...
Protein is linked to almost every life process. Therefore, analyzing the...
We propose a quantum algorithm for training nonlinear support vector mac...
We introduce a new molecular dataset, named Alchemy, for developing mach...
Graph Neural Networks (GNNs) achieve an impressive performance on struct...
In this work, we propose a novel technique to boost training efficiency ...
Quantum machine learning has the potential for broad industrial applicat...