3 papers
q-fin.RM2024
Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
Bingyao Liu, Iris Li, Jianhua Yao +3
This paper takes the graph neural network as the technical framework, integrates the intrinsic connections between enterprise financial indicators, and proposes a model for enterpr…
cs.LG2024
Enhancing Convolutional Neural Networks with Higher-Order Numerical Difference Methods
Qi Wang, Zijun Gao, Mingxiu Sui +3
With the rise of deep learning technology in practical applications, Convolutional Neural Networks (CNNs) have been able to assist humans in solving many real-world problems. To en…
cs.LG2024
Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training
Yuhan Ma, Dan Sun, Erdi Gao +3
Optimization theory serves as a pivotal scientific instrument for achieving optimal system performance, with its origins in economic applications to identify the best investment st…