In this paper, we present physics-informed graph residual learning (PhiGRL) to model the scattering of 3D PEC targets by solving combined field integral equations (CFIEs). Emulating the computing ...

In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...

This code classifies molecules represented by graphs using Joint Total variation and Energy similarity measure (JET), embeded in a Support Vector Machine as a kernel. The classification problem is to ...