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cs.HC2026
Exploring MLLMs Perception of Network Visualization Principles
Jacob Miller, Markus Wallinger, Ludwig Felder +5
In this paper, we test whether Multimodal Large Language Models (MLLMs) can match human-subject performance in tasks involving the perception of properties in network layouts. Spec…
cs.HC2024
GraphTrials: Visual Proofs of Graph Properties
Henry Förster, Felix Klesen, Tim Dwyer +8
Graph and network visualization supports exploration, analysis and communication of relational data arising in many domains: from biological and social networks, to transportation…