Spectral Graph Complexity
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alex Bronstein,, Emmanuel M\"uller

TL;DR
This paper introduces a spectral measure of graph complexity based on Weyl's law and demonstrates its correlation with the graph's embeddability in low-dimensional Euclidean space.
Contribution
It presents a novel spectral complexity measure for graphs and explores its relationship with low-dimensional embeddings.
Findings
Spectral complexity correlates with embedding quality.
The measure provides insights into graph structure.
Experimental validation supports the proposed notion.
Abstract
We introduce a spectral notion of graph complexity derived from the Weyl's law. We experimentally demonstrate its correlation to how well the graph can be embedded in a low-dimensional Euclidean space.
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