Graph Neural Networks

MicroCloud Hologram Inc. introduces a quantum spectral filter for hybrid graph neural networks. This technology maps graph Laplacian operators to trainable quantum circuits, enabling exponential compression of graph signals. It fuses convolution and pooling into a single quantum process, drastically reducing computational needs for large graphs. The innovation promises significant advancements in processing complex data structures, particularly for large-scale graph learning applications.