In the digital economy age, carbon emission reduction is perhaps the most crucial contribution affecting national activities and international negotiations. In a potential carbon reduction conflict, a rational participant expects to select a suitable strategic opinion to reach another state with...

We proposed a novel development trend prediction approach of digital financial inclusion (DFI) based on exploratory spatial data analysis (ESDA) and graph convolutional neural network (GCN), named ESDAGCN. Firstly, to address the limitation of standard GCN in lacking financial background...

Current applications of Graph Neural Networks in citywide short-term crash risk prediction have been limited by a gridded representation of space, which restricts the network’s capability to effectively capture the spatial and temporal dependency of crash occurrences. In addition, a grided...

This paper presents an investigation into a random walk on a cycle graph with restricted forward movement at most $m$ steps, known as the forward jump random walk. The study derives precise formulas for the probability mass function of the arriving state, the hitting time, and its expected value...

This paper contributes to the financial crisis literature by developing a deep learning model for predicting financial crisis events. We propose a novel gated graph neural network (GGNN) early warning model based on information spillover networks. The spillover network allows us to clarify the...

In this work we seek to enhance the frameworks practitioners in asset management and wealth management may adopt to asses how different screening rules may influence the diversification benefits of portfolios. The problem arises naturally in the area of Environmental, Social, and Governance...

The Steiner tree problem aims to determine a minimum edge-weighted tree spanning a given set of terminal vertices from a given graph. As a popular model for numerous practical applications, the problem has been the object of two important competitions (the 11th DIMACS Challenge in 2014 and the...