{"id":"https://openalex.org/W4416529963","doi":"https://doi.org/10.1088/2632-2153/ae22be","title":"Scalable multi-task learning for particle collision event reconstruction with heterogeneous graph neural networks","display_name":"Scalable multi-task learning for particle collision event reconstruction with heterogeneous graph neural networks","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W4416529963","doi":"https://doi.org/10.1088/2632-2153/ae22be"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ae22be","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ae22be","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1088/2632-2153/ae22be","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074784066","display_name":"W. Sutcliffe","orcid":"https://orcid.org/0000-0002-9795-3582"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"William Sutcliffe","raw_affiliation_strings":["Department of Physics, University of Z\u00fcrich, Winterthurerstrasse 190, Z\u00fcrich 8057, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Physics, University of Z\u00fcrich, Winterthurerstrasse 190, Z\u00fcrich 8057, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037446599","display_name":"M. Calvi","orcid":"https://orcid.org/0000-0002-8797-1357"},"institutions":[{"id":"https://openalex.org/I4210140564","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Milano Bicocca","ror":"https://ror.org/03xejxm22","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210140564"]},{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marta Calvi","raw_affiliation_strings":["Dipartimento di Fisica \u2018G. Occhialini\u2019, Universit\u00e0 di Milano Bicocca, Piazza della Scienza 3, Milano 20126, Italy","INFN Sezione di Milano-Bicocca, Piazza della Scienza 3, Milano 20126, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Fisica \u2018G. Occhialini\u2019, Universit\u00e0 di Milano Bicocca, Piazza della Scienza 3, Milano 20126, Italy","institution_ids":["https://openalex.org/I66752286"]},{"raw_affiliation_string":"INFN Sezione di Milano-Bicocca, Piazza della Scienza 3, Milano 20126, Italy","institution_ids":["https://openalex.org/I4210140564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057061182","display_name":"S. Capelli","orcid":"https://orcid.org/0000-0002-8444-4498"},"institutions":[{"id":"https://openalex.org/I4210140564","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Milano Bicocca","ror":"https://ror.org/03xejxm22","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210140564"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Capelli","raw_affiliation_strings":["INFN Sezione di Milano-Bicocca, Piazza della Scienza 3, Milano 20126, Italy"],"affiliations":[{"raw_affiliation_string":"INFN Sezione di Milano-Bicocca, Piazza della Scienza 3, Milano 20126, Italy","institution_ids":["https://openalex.org/I4210140564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078057629","display_name":"Jonas Nathanael Eschle","orcid":"https://orcid.org/0000-0002-7312-3699"},"institutions":[{"id":"https://openalex.org/I67311998","display_name":"European Organization for Nuclear Research","ror":"https://ror.org/01ggx4157","country_code":"CH","type":"facility","lineage":["https://openalex.org/I67311998"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jonas Eschle","raw_affiliation_strings":["Experimental Physics Department, European Organization for Nuclear Research (CERN), Espl. des Particules 1, Meyrin 1211, Switzerland"],"affiliations":[{"raw_affiliation_string":"Experimental Physics Department, European Organization for Nuclear Research (CERN), Espl. des Particules 1, Meyrin 1211, Switzerland","institution_ids":["https://openalex.org/I67311998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065071148","display_name":"J. Garc\u00eda Pardi\u00f1as","orcid":"https://orcid.org/0000-0003-2316-8829"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juli\u00e1n Garc\u00eda Pardi\u00f1as","raw_affiliation_strings":["Laboratory for Nuclear Science. Massachusetts Institute of Technology (MIT), 77 Massachusetts Ave, Cambridge, MA 02139, United States of America"],"affiliations":[{"raw_affiliation_string":"Laboratory for Nuclear Science. Massachusetts Institute of Technology (MIT), 77 Massachusetts Ave, Cambridge, MA 02139, United States of America","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107897447","display_name":"Abhijit Mathad","orcid":"https://orcid.org/0000-0002-9428-4715"},"institutions":[{"id":"https://openalex.org/I67311998","display_name":"European Organization for Nuclear Research","ror":"https://ror.org/01ggx4157","country_code":"CH","type":"facility","lineage":["https://openalex.org/I67311998"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Abhijit Mathad","raw_affiliation_strings":["Experimental Physics Department, European Organization for Nuclear Research (CERN), Espl. des Particules 1, Meyrin 1211, Switzerland"],"affiliations":[{"raw_affiliation_string":"Experimental Physics Department, European Organization for Nuclear Research (CERN), Espl. des Particules 1, Meyrin 1211, Switzerland","institution_ids":["https://openalex.org/I67311998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120660802","display_name":"Azusa Uzuki","orcid":null},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Azusa Uzuki","raw_affiliation_strings":["Department of Physics, University of Z\u00fcrich, Winterthurerstrasse 190, Z\u00fcrich 8057, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Physics, University of Z\u00fcrich, Winterthurerstrasse 190, Z\u00fcrich 8057, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091026631","display_name":"N. Serra","orcid":"https://orcid.org/0000-0002-5033-0580"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Nicola Serra","raw_affiliation_strings":["Department of Physics, University of Z\u00fcrich, Winterthurerstrasse 190, Z\u00fcrich 8057, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Physics, University of Z\u00fcrich, Winterthurerstrasse 190, Z\u00fcrich 8057, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5074784066"],"corresponding_institution_ids":["https://openalex.org/I202697423"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":3.5149,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9308974,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"6","issue":"4","first_page":"045060","last_page":"045060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10527","display_name":"High-Energy Particle Collisions Research","score":0.32100000977516174,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10527","display_name":"High-Energy Particle Collisions Research","score":0.32100000977516174,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.2703000009059906,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11044","display_name":"Particle Detector Development and Performance","score":0.2303999960422516,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6886000037193298},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5891000032424927},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5705999732017517},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5612000226974487},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.5600000023841858},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4814000129699707},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4799000024795532},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.47699999809265137},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.4668999910354614}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6886000037193298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6556000113487244},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5891000032424927},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5705999732017517},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5612000226974487},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5600000023841858},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4799000024795532},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.47699999809265137},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.4668999910354614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4424999952316284},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4309000074863434},{"id":"https://openalex.org/C2775853353","wikidata":"https://www.wikidata.org/wiki/Q5416724","display_name":"Event reconstruction","level":3,"score":0.4072999954223633},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35280001163482666},{"id":"https://openalex.org/C87668248","wikidata":"https://www.wikidata.org/wiki/Q40605","display_name":"Large Hadron Collider","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.31349998712539673},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2955000102519989},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.2711000144481659},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26440000534057617},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.1088/2632-2153/ae22be","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ae22be","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2504.21844","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.21844","pdf_url":"https://arxiv.org/pdf/2504.21844","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:doi:10.48550/arxiv.2504.21844","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:boa.unimib.it:10281/591243","is_oa":false,"landing_page_url":"https://hdl.handle.net/10281/591243","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:cds.cern.ch:2938943","is_oa":false,"landing_page_url":"http://cds.cern.ch/record/2938943","pdf_url":null,"source":{"id":"https://openalex.org/S4306402194","display_name":"CERN Document Server (European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:doaj.org/article:f6cfb5cebbf9427bb98457640862ccec","is_oa":true,"landing_page_url":"https://doaj.org/article/f6cfb5cebbf9427bb98457640862ccec","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 6, Iss 4, p 045060 (2025)","raw_type":"article"},{"id":"doi:10.5281/zenodo.15584744","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15584744","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"},{"id":"doi:10.5281/zenodo.15584745","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15584745","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ae22be","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ae22be","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2770012225","display_name":null,"funder_award_id":"TMAG-2 209263","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G8673416099","display_name":null,"funder_award_id":"No. 2411204","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1484876150","https://openalex.org/W1973128603","https://openalex.org/W2109896109","https://openalex.org/W2282936302","https://openalex.org/W2883445762","https://openalex.org/W2907708380","https://openalex.org/W2915621743","https://openalex.org/W2916639378","https://openalex.org/W2919346710","https://openalex.org/W3004220063","https://openalex.org/W3092470512","https://openalex.org/W3123787340","https://openalex.org/W3125730900","https://openalex.org/W3125889496","https://openalex.org/W3202404106","https://openalex.org/W4221029921","https://openalex.org/W4293695089","https://openalex.org/W4308821586","https://openalex.org/W4382202833","https://openalex.org/W4382937744","https://openalex.org/W4388774505","https://openalex.org/W4392270996","https://openalex.org/W4392736559","https://openalex.org/W4393412880","https://openalex.org/W4396681800","https://openalex.org/W4398251947","https://openalex.org/W4400720716","https://openalex.org/W4401211033","https://openalex.org/W4401364925","https://openalex.org/W4402883695","https://openalex.org/W4407318362","https://openalex.org/W4408447526","https://openalex.org/W6911862354"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"The":[1],"growing":[2],"luminosity":[3],"frontier":[4],"at":[5,29],"the":[6,12,30,53,105,112,133],"Large":[7],"Hadron":[8],"Collider":[9],"is":[10],"challenging":[11],"reconstruction":[13,60,115,134],"and":[14,26,43,58,89,124,135,146],"analysis":[15],"of":[16,55,65],"particle":[17,21,46,86,121],"collision":[18,87],"events.":[19],"Increased":[20],"multiplicities":[22],"are":[23,37],"straining":[24],"latency":[25],"storage":[27],"requirements":[28],"data":[31],"acquisition":[32],"stage,":[33],"while":[34],"new":[35],"complications":[36],"emerging,":[38],"including":[39],"higher":[40],"background":[41],"levels":[42],"more":[44,56],"frequent":[45],"vertex":[47,122],"misassociations.":[48],"This":[49],"in":[50,68,101],"turn":[51],"necessitates":[52],"development":[54],"holistic":[57],"scalable":[59],"methods":[61],"that":[62],"take":[63],"advantage":[64],"recent":[66],"advances":[67],"machine":[69],"learning.":[70],"We":[71,131],"propose":[72],"a":[73,98,128,152],"novel":[74],"heterogeneous":[75],"graph":[76,91,125],"neural":[77],"network":[78],"(HGNN)":[79],"architecture":[80],"featuring":[81],"unique":[82],"representations":[83],"for":[84,94],"diverse":[85],"relationships":[88],"integrated":[90],"pruning":[92,126,136],"layers":[93],"scalability.":[95],"Trained":[96],"with":[97,143],"multi-task":[99],"paradigm":[100],"an":[102],"environment":[103],"mimicking":[104],"LHCb":[106],"experiment,":[107],"this":[108],"HGNN":[109],"significantly":[110],"improves":[111],"beauty":[113],"hadron":[114],"performance.":[116],"Notably,":[117],"it":[118],"concurrently":[119],"performs":[120],"association":[123],"within":[127],"single":[129],"framework.":[130],"quantify":[132],"performance,":[137],"demonstrate":[138],"enhanced":[139],"inference":[140],"time":[141],"scaling":[142],"event":[144],"complexity,":[145],"mitigate":[147],"potential":[148],"performance":[149],"loss":[150],"using":[151],"weighted":[153],"message":[154],"passing":[155],"scheme.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-16T15:07:20.185449","created_date":"2025-10-10T00:00:00"}
