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Author

James Hyun

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Review Aug 2026

Optimal Transport for Network Comparison: A Unified Review with New Spectral Bounds and Machine Learning Applications

Network comparison using optimal transport is a growing area of research in network science. Unlike standard graph metrics, optimal transport computes both network dissimilarity and a transport plan that explains how one graph morphs into another. In this paper, we review how optimal transport compares undirected, unwe...

James Hyun, F. G. Meyer · 0 citations
#machine learning Review Aug 2026

Optimal Transport for Network Comparison: A Review with Machine Learning Applications

This paper examines the closed form of the Wasserstein distance in one dimension via node feature probability distributions, and shows how the transport plans of the Wasserstein and Gromov-Wasserstein distances visualize how mass is shifted to transform one network into another.

James Hyun, F. G. Meyer · 0 citations

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