Graph representations can solve complex problems in natural science, as patterns of connectivity can give rise to a magnitude of emergent phenomena. Graph-based approaches are specifically important ...
Complex-valued Hopfield neural networks extend the classical Hopfield model by allowing neuron activations and synaptic weights to assume complex values. This generalisation enables the encoding of ...