The first half of this year was the costliest ever recorded for weather and climate disasters in the United States, according to an analysis published Wednesday by the nonprofit organization Climate ...

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: Efficient maintenance of the Earth System Science Knowledge Graph (ESSKG) is essential for structuring and evolving scientific knowledge in the context of AI-driven research. However, the ...