Figure 1
From: Mass spectra prediction with structural motif-based graph neural networks
Overall architecture of MoMS-Net. The model consists of two GNN-based encoders, one for molecule graph and the other for heterogeneous motif graphs, respectively. Both types of graph embeddings from each GNN encoder are concatenated to form a single vector, and an MLP layer is finally applied to obtain the mass spectra prediction.
