{"id":"https://openalex.org/W7225234286","doi":"https://doi.org/10.3389/fphy.2026.1946795","title":"Leakage-resistant graph learning for risk propagation and risk-constrained control in construction supply networks","display_name":"Leakage-resistant graph learning for risk propagation and risk-constrained control in construction supply networks","publication_year":2026,"publication_date":"2026-11-04","ids":{"openalex":"https://openalex.org/W7225234286","doi":"https://doi.org/10.3389/fphy.2026.1946795"},"language":"en","primary_location":{"id":"doi:10.3389/fphy.2026.1946795","doi":"https://doi.org/10.3389/fphy.2026.1946795","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fphy.2026.1946795","pdf_url":"https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2026.1946795/pdf","source":{"id":"https://openalex.org/S2596760093","display_name":"Frontiers in Physics","issn_l":"2296-424X","issn":["2296-424X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Physics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2026.1946795/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023080466","display_name":"Qin Fu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210086059","display_name":"Sichuan University of Arts and Science","ror":"https://ror.org/00erq7915","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210086059"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Fu","raw_affiliation_strings":["School of Architectural Engineering, Sichuan University of Arts and Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Architectural Engineering, Sichuan University of Arts and Science","institution_ids":["https://openalex.org/I4210086059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102929176","display_name":"Yao Wei","orcid":"https://orcid.org/0009-0005-4539-2946","observed_orcids":["https://orcid.org/0009-0005-4539-2946"]},"institutions":[{"id":"https://openalex.org/I4405279637","display_name":"Sichuan Technology and Business University","ror":"https://ror.org/01sr0fc56","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405279637"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Wei","raw_affiliation_strings":["College of Intelligent Construction and Manufacturing, Sichuan Technology and Business University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligent Construction and Manufacturing, Sichuan Technology and Business University","institution_ids":["https://openalex.org/I4405279637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102404499","display_name":"Yong Xiang","orcid":"https://orcid.org/0009-0001-4493-9226","observed_orcids":["https://orcid.org/0009-0001-4493-9226"]},"institutions":[{"id":"https://openalex.org/I4405279637","display_name":"Sichuan Technology and Business University","ror":"https://ror.org/01sr0fc56","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405279637"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xiang","raw_affiliation_strings":["College of Intelligent Construction and Manufacturing, Sichuan Technology and Business University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligent Construction and Manufacturing, Sichuan Technology and Business University","institution_ids":["https://openalex.org/I4405279637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102929176"],"corresponding_institution_ids":["https://openalex.org/I4405279637"],"apc_list":{"value":2550,"currency":"CHF","value_usd":3077},"apc_paid":{"value":2550,"currency":"CHF","value_usd":3077},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.88139412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9442999958992004,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9442999958992004,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10395","display_name":"Construction Project Management and Performance","score":0.04619999974966049,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6122000217437744},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4438000023365021},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.33980000019073486},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3156000077724457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3052000105381012},{"id":"https://openalex.org/C2778058735","wikidata":"https://www.wikidata.org/wiki/Q4692253","display_name":"Aggregate data","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C181889124","wikidata":"https://www.wikidata.org/wiki/Q380204","display_name":"Service level","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.262800008058548},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3389/fphy.2026.1946795","doi":"https://doi.org/10.3389/fphy.2026.1946795","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fphy.2026.1946795","pdf_url":"https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2026.1946795/pdf","source":{"id":"https://openalex.org/S2596760093","display_name":"Frontiers in Physics","issn_l":"2296-424X","issn":["2296-424X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Physics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3389/fphy.2026.1946795","doi":"https://doi.org/10.3389/fphy.2026.1946795","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fphy.2026.1946795","pdf_url":"https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2026.1946795/pdf","source":{"id":"https://openalex.org/S2596760093","display_name":"Frontiers in Physics","issn_l":"2296-424X","issn":["2296-424X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Physics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7225234286.pdf","grobid_xml":"https://content.openalex.org/works/W7225234286.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1878853999","https://openalex.org/W1966716734","https://openalex.org/W1968164782","https://openalex.org/W1968537315","https://openalex.org/W1976526581","https://openalex.org/W2000131825","https://openalex.org/W2034717186","https://openalex.org/W2036515111","https://openalex.org/W2061896930","https://openalex.org/W2064675550","https://openalex.org/W2070722739","https://openalex.org/W2118578357","https://openalex.org/W2132022337","https://openalex.org/W2143891888","https://openalex.org/W2277170616","https://openalex.org/W2295598076","https://openalex.org/W2548695521","https://openalex.org/W2604314403","https://openalex.org/W2766820687","https://openalex.org/W2891638642","https://openalex.org/W2963956318","https://openalex.org/W2998313947","https://openalex.org/W3003257820","https://openalex.org/W3036685317","https://openalex.org/W3037819556","https://openalex.org/W4376639612","https://openalex.org/W4377141386","https://openalex.org/W4391417833","https://openalex.org/W4392975994","https://openalex.org/W4399156601","https://openalex.org/W4399489667","https://openalex.org/W4400201280","https://openalex.org/W4401980519","https://openalex.org/W4402703805","https://openalex.org/W4405795066","https://openalex.org/W4408104120","https://openalex.org/W4408242031","https://openalex.org/W4408461205","https://openalex.org/W4409246105","https://openalex.org/W4409348459","https://openalex.org/W4409531900","https://openalex.org/W4409801497","https://openalex.org/W4409820664","https://openalex.org/W4410596035","https://openalex.org/W4410788331","https://openalex.org/W4413376140","https://openalex.org/W4413833360","https://openalex.org/W4415166289","https://openalex.org/W4415698549","https://openalex.org/W4416666620","https://openalex.org/W6940340797","https://openalex.org/W7114928862","https://openalex.org/W7124448341","https://openalex.org/W7133346829","https://openalex.org/W7162677836"],"related_works":[],"abstract_inverted_index":{"Introduction":[0],"Construction":[1],"supply":[2],"network":[3,66,143,279],"decisions":[4],"require":[5],"both":[6],"predecision":[7],"warning":[8],"from":[9,289],"information":[10,37],"available":[11],"before":[12],"operations":[13],"unfold":[14],"and":[15,39,70,79,85,99,116,130,156,237,255,277],"topology-aware":[16],"diagnosis":[17],"after":[18],"the":[19,137,140,145,150,159,174,185,208,230,234,260],"disruption":[20],"context":[21],"becomes":[22],"visible.":[23],"We":[24,48],"introduce":[25],"an":[26,117,180,201,222],"auditable":[27],"framework":[28,266],"that":[29,249],"separates":[30],"these":[31],"regimes":[32],"through":[33,127],"a":[34,55,64,107,131,211,246],"strict":[35,91,138],"start-of-week":[36],"contract":[38,92],"connects":[40],"risk":[41],"scores":[42],"to":[43],"safety-gated":[44],"resource":[45,123],"allocation.":[46],"Methods":[47],"combined":[49],"public":[50],"SUCCESS":[51],"construction-logistics":[52],"records":[53],"with":[54,67,170,210],"frozen":[56],"queue-flow":[57],"mechanism":[58],"producing":[59],"paired":[60],"counterfactual":[61],"outcomes":[62],"on":[63,76,82,87],"heterogeneous":[65],"302":[68],"nodes":[69],"1,277":[71],"edges.":[72],"Models":[73],"were":[74,125],"trained":[75],"pilots":[77],"A":[78],"B,":[80],"selected":[81],"pilot":[83,88],"C,":[84],"evaluated":[86],"D.":[89],"The":[90,218,241,265],"excluded":[93],"all":[94],"week-t":[95],"outcomes,":[96],"service":[97,224],"levels,":[98],"shock-source":[100],"indicators.":[101],"Complementary":[102],"evaluations":[103],"comprised":[104],"context-aware":[105,175,271],"diagnosis,":[106,273],"construction":[108],"consolidation":[109],"center":[110],"(CCC)":[111],"outage":[112],"panel,":[113],"leave-one-project-out":[114],"evaluation,":[115,270],"independent":[118],"SupplyGraph":[119],"boundary":[120],"test.":[121],"Six":[122],"policies":[124],"compared":[126],"validation-only":[128],"selection":[129],"held-out":[132,147,242],"Pareto":[133],"audit.":[134],"Results":[135],"Under":[136],"contract,":[139],"graph":[141,269],"convolutional":[142],"achieved":[144,179,200],"highest":[146],"area":[148,157],"under":[149,158],"precision\u2013recall":[151],"curve":[152,163],"(AUPRC)":[153],"of":[154,165,182,203,226],"0.2397":[155],"receiver":[160],"operating":[161],"characteristic":[162],"(AUROC)":[164],"0.8161":[166],"for":[167,207],"4,252":[168],"node-weeks":[169],"60":[171],"positives.":[172],"In":[173],"regime,":[176],"relational":[177,272],"GraphSAGE":[178,199],"AUPRC":[181,202],"0.5702,":[183],"exceeding":[184],"matched":[186],"multilayer":[187],"perceptron":[188],"(MLP)":[189],"by":[190],"0.0803.":[191],"Across":[192],"eight":[193],"positive":[194,212],"pairs":[195],"involving":[196],"CCC":[197],"outages,":[198],"0.5845":[204],"versus":[205],"0.4994":[206],"MLP,":[209],"pair-specific":[213],"advantage":[214],"in":[215],"each":[216],"case.":[217],"calibrated-risk":[219],"guardrail":[220],"identified":[221,245],"aggregate":[223,286],"improvement":[225],"0.827%":[227],"but":[228],"screened":[229],"allocation":[231,248],"out":[232],"because":[233],"affected":[235,253],"sites":[236],"failure":[238,256],"durations":[239,257],"increased.":[240],"frontier":[243],"also":[244],"deficit-only":[247],"improved":[250],"unserved":[251],"demand,":[252],"sites,":[254],"without":[258],"overriding":[259],"predeclared":[261],"deployment":[262],"rule.":[263],"Discussion":[264],"combines":[267],"leakage-resistant":[268],"project-level":[274],"applicability":[275],"testing,":[276],"risk-gated":[278],"control.":[280],"Its":[281],"explicit":[282],"safety":[283],"gate":[284],"prevents":[285],"efficiency":[287],"gains":[288],"concealing":[290],"propagation-risk":[291],"transfer.":[292]},"counts_by_year":[],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2026-11-05T00:00:00"}