Incorporating structural features into random-graph calculations should bring theoretical models describing the properties and behaviour of complex networks closer to real-world systems. You have full ...

Abstract: Synthetic power graphs have recently been widely used to assist researchers in analyzing power grids as complex networks. In general, power graphs are sparsely connected, scale-free with ...

Abstract: Temporal knowledge graph forecasting (TKGF) has become a crucial tool for predicting future facts based on temporal knowledge graphs. Traditional methods face inherent limitations: ...

Traffic-DSTG-Gen is an open-source tool for generating dynamic, spatio-temporal graph datasets from urban traffic simulations. It is designed for research and development in traffic forecasting, ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

CNN classifications of local bond environments (functional groups) from AES spectra augmented with CEBEs The present code and data release only supports the GNN CEBE predictions of the following ...