Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs

NeurIPSSpotlight2025

Authors
Yunfeng Liao, Yangxin Wu, Xiucheng Li
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Recent advances in graph neural network (GNN)-based neural operators have demonstrated significant progress in solving partial differential equations (PDEs) by effectively representing computational m…

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Topics

graph neural network graph

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