Identifying and Forecasting Recurrently Emerging Stock Trend Structures via Rising Visibility Graphs
This study introduces a novel forecasting framework that identifies and predicts recurrently emerging structural patterns in stock trends using rising visibility graphs (RVGs) and the Weisfeiler–Lehman (WL) subtree kernel. The proposed method, RVGWL, addresses a key limitation of traditional visibil...
Saved in:
Main Authors: | Zhen Zeng, Yu Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
|
Series: | Forecasting |
Subjects: | |
Online Access: | https://www.mdpi.com/2571-9394/7/2/26 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Microgrid Multivariate Load Forecasting Based on Weighted Visibility Graph: A Regional Airport Case Study
by: Georgios Vontzos, et al.
Published: (2025-04-01) -
Optimal Transport Based Graph Kernels for Drug Property Prediction
by: Mohammed Aburidi, et al.
Published: (2025-01-01) -
Anomaly detection in graph databases using graph neural networks: Identifying unusual patterns in graphs
by: Ismail Chetoui, et al.
Published: (2025-09-01) -
Algorithms for comparing large pedigree graphs
by: Nahla A. Belal, et al.
Published: (2022-06-01) -
Dual Graph for Traffic Forecasting
by: Long Wei, et al.
Published: (2025-01-01)