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.AI2025
Artificial intelligence in drug discovery: A comprehensive review with a case study on hyperuricemia, gout arthritis, and hyperuricemic nephropathy
Junwei Su, Cheng Xin, Ao Shang +11
This paper systematically reviews recent advances in artificial intelligence (AI), with a particular focus on machine learning (ML), across the entire drug discovery pipeline. Due…
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…