{"id":"https://openalex.org/W7214802422","doi":"https://doi.org/10.48550/arxiv.2609.33120","title":"Mycelium: A Generalizable Cross-Grid Multi-Task Model for Electrical Distribution Systems","display_name":"Mycelium: A Generalizable Cross-Grid Multi-Task Model for Electrical Distribution Systems","publication_year":2026,"publication_date":"2026-09-27","ids":{"openalex":"https://openalex.org/W7214802422","doi":"https://doi.org/10.48550/arxiv.2609.33120"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.33120","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.33120","pdf_url":"https://arxiv.org/pdf/2609.33120","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.33120","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5153490369","display_name":"Zhengyang Wei","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei, Zhengyang","raw_affiliation_strings":["Prav\u0101h","Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Prav\u0101h","institution_ids":[]},{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029168975","display_name":"Shourya Bose","orcid":"https://orcid.org/0000-0002-2081-9545","observed_orcids":["https://orcid.org/0000-0002-2081-9545"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bose, Shourya","raw_affiliation_strings":["Prav\u0101h"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Prav\u0101h","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047594222","display_name":"Helgi Hilmarsson","orcid":"https://orcid.org/0000-0002-2464-9547","observed_orcids":["https://orcid.org/0000-0002-2464-9547"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hilmarsson, Helgi","raw_affiliation_strings":["Prav\u0101h"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Prav\u0101h","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153427238","display_name":"Elena Carnio","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carnio, Elena","raw_affiliation_strings":["Prav\u0101h"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Prav\u0101h","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002262953","display_name":"Dhruv Suri","orcid":"https://orcid.org/0000-0003-4839-7644","observed_orcids":["https://orcid.org/0000-0003-4839-7644","https://orcid.org/0009-0001-4778-2236"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suri, Dhruv","raw_affiliation_strings":["Prav\u0101h"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Prav\u0101h","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.4032999873161316,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.4032999873161316,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.24480000138282776,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.18870000541210175,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electrical-distribution-systems","display_name":"electrical distribution systems","score":0.8690000176429749},{"id":"https://openalex.org/keywords/heterogeneous-graph-transformer","display_name":"heterogeneous graph transformer","score":0.6449999809265137},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"multi-task learning","score":0.8169999718666077},{"id":"https://openalex.org/keywords/network-reconfiguration","display_name":"network reconfiguration","score":0.9100000262260437},{"id":"https://openalex.org/keywords/fault-scenarios","display_name":"fault scenarios","score":0.906000018119812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6664999723434448},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5842000246047974},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.580299973487854},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5166000127792358},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5113000273704529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4749999940395355},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4498000144958496},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.44110000133514404},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.40450000762939453},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37540000677108765},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32589998841285706},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.32089999318122864},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3124000132083893},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.27559998631477356},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.2712000012397766}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.33120","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.33120","pdf_url":"https://arxiv.org/pdf/2609.33120","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"doi:10.48550/arxiv.2609.33120","doi":"https://doi.org/10.48550/arxiv.2609.33120","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.33120","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.33120","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.33120","pdf_url":"https://arxiv.org/pdf/2609.33120","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.75,"id":"https://metadata.un.org/sdg/7"},{"display_name":"Industry, innovation and infrastructure","score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214802422.pdf","grobid_xml":"https://content.openalex.org/works/W7214802422.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1990317614","https://openalex.org/W2304067940","https://openalex.org/W2792764867","https://openalex.org/W2908510526","https://openalex.org/W2980905934","https://openalex.org/W4393247887","https://openalex.org/W6926819485","https://openalex.org/W7133757614","https://openalex.org/W7168806963","https://openalex.org/W7172282755","https://openalex.org/W7202215657","https://openalex.org/W7211992963"],"related_works":["https://openalex.org/W7161160869","https://openalex.org/W7204987363","https://openalex.org/W7211992963","https://openalex.org/W4387870343","https://openalex.org/W4401721421","https://openalex.org/W7213488989","https://openalex.org/W7213488453","https://openalex.org/W7202164764","https://openalex.org/W4415191376","https://openalex.org/W4394744660"],"abstract_inverted_index":{"Electrical":[0],"distribution":[1,47,59,89],"grid":[2,42,53,201],"operations":[3],"require":[4],"inference":[5],"across":[6,73],"heterogeneous":[7,62,104],"networks":[8,60,90,151],"from":[9,154],"sparse,":[10],"noisy,":[11],"and":[12,23,43,70,86,96,112,120,145,156,174],"incomplete":[13],"time":[14],"series":[15],"measurements.":[16],"In":[17],"this":[18],"work,":[19],"we":[20],"identify":[21],"challenges":[22],"explore":[24],"solutions":[25],"towards":[26],"a":[27,51,77,103,196],"unified":[28,52,200],"model":[29],"that":[30,55,83,116],"can":[31],"perform":[32],"diverse":[33],"tasks":[34],"grounded":[35],"in":[36,199],"the":[37,40,175,185],"physics":[38,78,187],"of":[39,184],"electric":[41],"generalize":[44],"to":[45,161,181,190],"unseen":[46],"networks.":[48,74],"We":[49,75,100,135],"define":[50],"ontology":[54],"represents":[56],"variable":[57],"sized":[58],"as":[61,140,142],"graphs":[63],"while":[64],"preserving":[65],"native":[66],"topology,":[67],"asset":[68],"types,":[69],"electrical":[71,113],"relationships":[72],"develop":[76],"based":[79],"data":[80],"simulation":[81],"pipeline":[82],"combines":[84],"reference":[85,114,139],"procedurally":[87],"generated":[88],"with":[91,107,125],"network":[92,118],"reconfigurations,":[93],"fault":[94],"scenarios,":[95],"configurable":[97],"sensing":[98],"conditions.":[99],"present":[101],"Mycelium,":[102],"graph":[105],"transformer":[106],"structure":[108],"aware":[109],"communication":[110],"edges":[111],"features":[115],"encode":[117],"position":[119],"nominal":[121],"phase":[122],"orientation,":[123],"together":[124],"task":[126,133,163],"specific":[127,164],"temporal":[128],"readouts":[129],"which":[130,188],"generate":[131],"per":[132],"outputs.":[134],"train":[136],"Mycelium":[137,158],"on":[138,149,167],"well":[141],"synthetic":[143],"grids,":[144],"study":[146],"its":[147],"generalization":[148],"benchmark":[150,170],"completely":[152],"excluded":[153],"training":[155],"validation.":[157],"is":[159],"observed":[160],"outperform":[162],"neural":[165],"baselines":[166],"most":[168],"reported":[169],"metrics.":[171],"Architectural":[172],"ablations":[173],"aforementioned":[176],"studies":[177],"reveal":[178],"Mycelium's":[179],"capability":[180],"learn":[182],"representations":[183],"underlying":[186],"serves":[189],"enhance":[191],"cross-task":[192],"performance,":[193],"thereby":[194],"addressing":[195],"significant":[197],"challenge":[198],"models.":[202]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-09-30T00:00:00"}
