Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Abstract: Global climate change is intensifying, and more measures to reduce carbon emissions should be taken. A method based on graph neural network can predict the carbon emission factors of power ...