2 papers
cs.LG2025
Inference-friendly Graph Compression for Graph Neural Networks
Yangxin Fan, Haolai Che, Yinghui Wu
Graph Neural Networks (GNNs) have demonstrated promising performance in graph analysis. Nevertheless, the inference process of GNNs remains costly, hindering their applications for…
cs.DB2025
Generating Skyline Datasets for Data Science Models
Mengying Wang, Hanchao Ma, Yiyang Bian +2
Preparing high-quality datasets required by various data-driven AI and machine learning models has become a cornerstone task in data-driven analysis. Conventional data discovery me…