date: 2025-03-21T11:01:41Z pdf:PDFVersion: 1.5 pdf:docinfo:title: A machine learning approach to predicting dynamical observables from network structure xmp:CreatorTool: LaTeX with hyperref Keywords: access_permission:modify_annotations: true access_permission:can_print_degraded: true subject: Proc. R. Soc. A. 2025.481:20240435 dcterms:created: 2025-01-13T11:32:07Z Last-Modified: 2025-03-21T11:01:41Z dcterms:modified: 2025-03-21T11:01:41Z dc:format: application/pdf; version=1.5 title: A machine learning approach to predicting dynamical observables from network structure Last-Save-Date: 2025-03-21T11:01:41Z pdf:docinfo:creator_tool: LaTeX with hyperref access_permission:fill_in_form: true pdf:docinfo:keywords: pdf:docinfo:custom:PTEX.FullBanner: This is LuaHBTeX, Version 1.18.1 (MiKTeX 24.4) pdf:docinfo:modified: 2025-03-21T11:01:41Z meta:save-date: 2025-03-21T11:01:41Z pdf:encrypted: false dc:title: A machine learning approach to predicting dynamical observables from network structure modified: 2025-03-21T11:01:41Z cp:subject: Proc. R. Soc. A. 2025.481:20240435 pdf:docinfo:subject: Proc. R. Soc. A. 2025.481:20240435 Content-Type: application/pdf pdf:docinfo:creator: X-Parsed-By: org.apache.tika.parser.DefaultParser dc:subject: trapped: False meta:creation-date: 2025-01-13T11:32:07Z PTEX.FullBanner: This is LuaHBTeX, Version 1.18.1 (MiKTeX 24.4) created: Mon Jan 13 12:32:07 CET 2025 access_permission:extract_for_accessibility: true access_permission:assemble_document: true xmpTPg:NPages: 12 Creation-Date: 2025-01-13T11:32:07Z access_permission:extract_content: true access_permission:can_print: true pdf:docinfo:trapped: False meta:keyword: producer: LuaTeX-1.18.1; modified using iText 4.2.0 by 1T3XT access_permission:can_modify: true pdf:docinfo:producer: LuaTeX-1.18.1; modified using iText 4.2.0 by 1T3XT pdf:docinfo:created: 2025-01-13T11:32:07Z