Peng Mei

Entangled No More: Multi-Domain Decoupling for Robust Dynamic Graph Neural Networks

Dynamic graphs are pervasive in real-world systems, but their tightly entangled spatiotemporal evolution causes significant modeling challenges. Existing Dynamic Graph Neural Networks (DGNNs) lack a principled framework for systematically decoupling this multi-domain entanglement, raising two key pr…