A new graph-image benchmark generator shows that six large vision-language models are sensitive to layout, labeling, and visual defects across seven graph tasks.
Fast approximate isorank for scalable global alignment of biological networks.bioRxiv, 2023
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VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models
A new graph-image benchmark generator shows that six large vision-language models are sensitive to layout, labeling, and visual defects across seven graph tasks.