2 papers
cs.NE2025
CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
Yongsheng Huang, Peibo Duan, Zhipeng Liu +4
Currently, most spiking neural networks (SNNs) still mimic the chain-like hierarchical architecture in traditional artificial neural networks (ANNs). This method significantly diff…
cs.LG2025
A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction
Zhipeng Liu, Peibo Duan, Mingyang Geng +1
Stock trend prediction involves forecasting the future price movements by analyzing historical data and various market indicators. With the advancement of machine learning, graph n…