11 citations · 46 across the 13 of their papers we have counts for
5 papers · 1 filter
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations
Yunhua Pei, Jin Zheng, John Cartlidge
Temporal Graph Learning (TGL) is crucial for capturing the evolving nature of stock markets. Traditional methods often ignore the interplay between dynamic temporal changes and sta…
Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy
Seth Bullock, Nirav Ajmeri, Mike Batty +15
Advances in artificial intelligence (AI) have great potential to help address societal challenges that are both collective in nature and present at national or trans-national scale…
Simulation of Social Media-Driven Bubble Formation in Financial Markets using an Agent-Based Model with Hierarchical Influence Network
Gonzalo Bohorquez, John Cartlidge
We propose that a tree-like hierarchical structure represents a simple and effective way to model the emergent behaviour of financial markets, especially markets where there exists…
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…
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
Zinuo You, Zijian Shi, Hongbo Bo +3
Forecasting future stock trends remains challenging for academia and industry due to stochastic inter-stock dynamics and hierarchical intra-stock dynamics influencing stock prices.…