2 code implementations • 26 Sep 2019 • Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica, Vikash Singh, Stefan Leichenauer, Jack Hidary
We introduce Quantum Graph Neural Networks (QGNN), a new class of quantum neural network ansatze which are tailored to represent quantum processes which have a graph structure, and are particularly suitable to be executed on distributed quantum systems over a quantum network.
no code implementations • 12 May 2019 • Enxhell Luzhnica, Ben Day, Pietro Liò
Graph classification receives a great deal of attention from the non-Euclidean machine learning community.
1 code implementation • 31 Mar 2019 • Enxhell Luzhnica, Ben Day, Pietro Lio'
We propose a novel graph pooling operation using cliques as the unit pool.