PEGNet: A Peridynamics-Inspired and Emergent-Feature-Conditioned Spatio-Temporal Graph Neural Network for Land Subsidence Modeling
Land subsidence prediction remains challenging. Conventional grid-based or sequence-only neural networks struggle to represent these spatial dependencies and often lack structured mechanisms for incorporating region-level deformation priors and local physical consistency. This study develops PEGNet, a Peridynamics-insp...
Siyuan Cheng, Xiaojuan Li, Roberto Tomás et al.
· Remote Sensing · 0 citations