Modeling non-bonding orbitals is a non-trivial task since such information is not accessible from traditional molecular graphs. To solve it, we formulated the problem as a sequential graph construction model. We accomplished the ultimate goal by training this model using NBO analysis data via supervised learning. As a result, the full pipeline can predict NBO interactions based on complex electronic interactions within the molecule.