DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement
Prediction

DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction

3 January 2024

John Cartlidge

Papers citing "DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction"

4 / 4 papers shown

Title
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations Yunhua Pei Jin Zheng John Cartlidge AIFin 57 1 0 05 Dec 2024
Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification Zinuo You Pengju Zhang Jin Zheng John Cartlidge AIFin DiffM 13 5 0 05 Jan 2024
Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination Jie Chen Weiqi Liu Jianghuai Pu 12 10 0 01 Feb 2022
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018