Masahiro Mitani

Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm

Temporal Graph Neural Network (TGNN) explanation has attracted increasing attention due to its applicability in dynamic scenarios such as recommendation systems. However, existing explanation methods for TGNNs face two key limitations: (1) computational inefficiency and (2) a restricted focus on eit