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Found 3 papers, 2 papers with code
Quantum Graph Neural Networks
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.
On Graph Classification Networks, Datasets and Baselines
Graph classification receives a great deal of attention from the non-Euclidean machine learning community.
Clique pooling for graph classification
We propose a novel graph pooling operation using cliques as the unit pool.
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