KDD2025

MapExplorer: New Content Generation from Low-Dimensional Visualizations

Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei

摘要

Low-dimensional visualizations, or "projection maps" are widely used in scientific research and creative industries to interpret largescale and complex datasets.These visualizations not only support the understanding of existing knowledge spaces but are often used implicitly to guide exploration into unknown areas.While such visualizations can be created through various methods such as TSNE or UMAP, there is no systematic way to leverage them for