Ze-Li Wang

Simple yet Effective Diffusion-based Graph Data Augmentation via Complementary Diffusion Transfer

Graph Neural Networks (GNNs) have emerged as powerful tools for modeling relational data, demonstrating impressive performance across many downstream tasks. Unfortunately, their effectiveness is often hindered by inherent graph imperfections, such as noise and incompleteness. To enhance the robustness of GNNs, numerous...