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Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
Understanding the dynamic transition of motifs in temporal graphs is essential for revealing how graph structures evolve over time, identifying critical patterns, and predicting future behaviors, yet existing methods often focus on predefined motifs, limiting their ability to comprehensively capture transitions and interrelationships.
Label-free Prediction of Vascular Connectivity in Perfused Microvascular Networks in vitro
To address this issue, a Vessel Connectivity Network (VC-Net) was developed for label-free assessment of vascular connectivity.
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