Abstract: Few-shot node classification (FSNC) is a challenging task in graph analysis, where the goal is to classify unlabeled nodes in a graph using only a few labeled nodes as references. To tackle ...
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
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