3 papers
cs.LG2025
SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion
Junwei Su, Shan Wu
Graph diffusion generative models (GDGMs) have emerged as powerful tools for generating high-quality graphs. However, their broader adoption faces challenges in \emph{scalability a…
cs.LG2024
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
Junwei Su, Shan Wu
Temporal Graph Neural Networks (TGNNs) are a family of graph neural networks designed to model and learn dynamic information from temporal graphs. Given their substantial empirical…
cs.LG2024
MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning
Junwei Su, Shan Wu, Jinhui Li
In this study, we explore the synergy of deep learning and financial market applications, focusing on pair trading. This market-neutral strategy is integral to quantitative finance…