Mol-ME: Enhancing Molecular Property Prediction via Multi-Modal Alignment Learning and Ensemble Methods.
A novel multimodal alignment framework for joint modeling of molecular graphs and sequences, called Mol-ME, which employs ensemble learning to predict on extracted representations, which captures complex nonlinear relationships and compensates for the modeling limitations of single shallow networks.