AINeutralarXiv – CS AI · May 126/10
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CTQWformer: A CTQW-based Transformer for Graph Classification
Researchers introduce CTQWformer, a novel machine learning framework that combines continuous-time quantum walks with transformer architectures for improved graph classification. The hybrid approach outperforms existing graph neural network and kernel-based methods by better capturing both global structural dependencies and dynamic information propagation in complex networks.