Here, we showcase how our graph neural network (GNN)-based implicit solvent (GNNIS ... deviation over the RMSE values is at most 0.05 kJ mol –1 nm –1). Hence, one model was selected for all further ...

In this paper, we propose a Multiple Graph Autoencoder based Generative Adversarial Network (MGAE-GAN) model to enable the inference of ts-FCNs from rs-FCNs. The generator of MGAE-GAN is built upon ...

While existing emotion analysis methods focus on the utilization of effective deep models for data-driven and big data analytics technology, they often struggle to extract long-range dependencies and ...