On the complexity of graphs (networks) by information content, and conditional (mutual) information given other graphs
Lloyd Allison

TL;DR
This paper explores the information content of graphs, including conditional information given background graphs, introduces an estimation algorithm, and demonstrates its application on chemical compound graphs.
Contribution
It presents a novel algorithm for estimating the information content of graphs conditioned on background graphs, with practical examples.
Findings
Algorithm effectively estimates graph information content
Conditional information varies significantly with background graphs
Application to chemical compounds demonstrates practical utility
Abstract
This report concerns the information content of a graph, optionally conditional on one or more background, "common knowledge" graphs. It describes an algorithm to estimate this information content, and includes some examples based on chemical compounds.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
