2025
Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs
NeurIPS 2025spotlight
Recent advances in graph neural network (GNN)-based neural operators have demonstrated significant progress in solving partial differential equations (PDEs) by effectively representing computational meshes. However, most existing approaches overlook the intrinsic physical and topological meaning of…