MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction

19 January 2024

Papers citing "MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction"

7 / 7 papers shown

Title
Predictive AI with External Knowledge Infusion for Stocks Ambedkar Dukkipati Kawin Mayilvaghanan Naveen Kumar Pallekonda Sai Prakash Hadnoor Ranga Shaarad Ayyagari AIFin 48 0 0 14 Apr 2025
Unlocking Multi-Modal Potentials for Dynamic Text-Attributed Graph Representation Yuanyuan Xu Wenjie Zhang Y. Zhang Xuemin Lin Xiwei Xu 61 0 0 27 Feb 2025
GRU-PFG: Extract Inter-Stock Correlation from Stock Factors with Graph Neural Network Yonggai Zhuang Haoran Chen Kequan Wang Teng Fei AIFin 61 0 0 28 Nov 2024
Dynamic Portfolio Rebalancing: A Hybrid new Model Using GNNs and Pathfinding for Cost Efficiency Diego Vallarino 28 3 0 02 Oct 2024
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 250 695 0 27 Aug 2021
Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data Qinkai Chen C. Robert AIFin 40 25 0 22 Jul 2021
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,170 0 03 Mar 2020