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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…