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cs.LG2026
Visualizing High-Dimensional Graph Embeddings via Informed Multi-View Projections
Ya Ji, Xuefeng Li, Timo Brand +4
Graphs are commonly visualized in 2D, where humans readily interpret spatial relationships, yet such layouts often distort higher-dimensional structure. We propose to embed graphs…
cs.LG2026
Beauty in the Eye of AI: Aligning LLMs and Vision Models with Human Aesthetics in Network Visualization
Peng Zhang, Xuefeng Li, Xiaoqi Wang +2
Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However,…