Physics-Based Molecular Fingerprints from Spectral Graph Theory Provide Efficient Geometry-Aware Measures of Chemical Similarity
Novel physics-inspired molecular fingerprints are introduced based on principles from spectral graph theory, which represent molecules as a complete graph in 3D space, with edge weights encoding heuristic physical interactions and revealing the utility of this molecular representation in machine learning and cheminform...