11 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.CE2025
EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification
Zhuodong Jiang, Pengju Zhang, Peter Martin
Graph neural networks have shown remarkable performance in forecasting stock movements, which arises from learning complex inter-dependencies between stocks and intra-dynamics of s…
q-fin.ST2024★ 11 cited
Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification
Zinuo You, Pengju Zhang, Jin Zheng +1
Stock trend classification remains a fundamental yet challenging task, owing to the intricate time-evolving dynamics between and within stocks. To tackle these two challenges, we p…