arXiv (OAI Expanded)
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Edge-Local and Qubit-Efficient Quantum Graph Learning for the NISQ Era
Graph neural networks (GNNs) are a powerful framework for learning representations from graph-structured data, but their direct implementation on near-term quantum hardware remains challenging due to circuit depth, multi-qubit interactions, and qubit scalability constraints. In this work, we introdu
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