Quantum Graph Neural Networks, Guillaume Verdon, Michael Broughton, Juan Miguel Arrazola, and Nathan Killoran, 2021Nature Communications, Vol. 12 (Nature Publishing Group)DOI: 10.1038/s41467-021-22002-0 - Presents an early framework for Quantum Graph Neural Networks, demonstrating how quantum circuits can be used for learning on graph-structured data.
Quantum kernel methods for graph data, Julien Gacon, Guillaume Verdon, Léo Sebbane, Michael Broughton, Juan Miguel Arrazola, and Nathan Killoran, 2020Quantum Science and Technology, Vol. 5 (IOP Publishing)DOI: 10.1088/2058-9565/ab7c0e - Introduces methods for constructing quantum kernels specifically for graph-structured data, relevant to Quantum Kernel GNNs.