2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
Hamed Gholipour, Farid Bozorgnia, Kailash Hambarde +5
Laplacian learning method is a well-established technique in classical graph-based semi-supervised learning, but its potential in the quantum domain remains largely unexplored. Thi…
q-fin.RM2024★ 2 cited
Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning
Javier Mancilla, André Sequeira, Tomas Tagliani +2
Quantum Kernels are projected to provide early-stage usefulness for quantum machine learning. However, highly sophisticated classical models are hard to surpass without losing inte…