{"id":"https://openalex.org/W4396757512","doi":"https://doi.org/10.1145/3589334.3645542","title":"MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification","display_name":"MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396757512","doi":"https://doi.org/10.1145/3589334.3645542"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645542","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589334.3645542","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3589334.3645542","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037888954","display_name":"Tianjun Yao","orcid":"https://orcid.org/0009-0006-0553-2809"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Tianjun Yao","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103113359","display_name":"Jiaqi Sun","orcid":"https://orcid.org/0000-0001-5776-9564"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaqi Sun","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041549115","display_name":"Defu Cao","orcid":"https://orcid.org/0000-0003-0240-3818"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Defu Cao","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342309","display_name":"Kun Zhang","orcid":"https://orcid.org/0000-0002-0738-9958"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Kun Zhang","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence & Carnegie Mellon University, Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence & Carnegie Mellon University, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088257057","display_name":"Guangyi Chen","orcid":"https://orcid.org/0000-0001-7542-5378"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Guangyi Chen","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence & Carnegie Mellon University, Abu Dhabi, United Arab Emirates","of , , ,"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence & Carnegie Mellon University, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]},{"raw_affiliation_string":"of , , ,","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037888954"],"corresponding_institution_ids":["https://openalex.org/I4210113480"],"apc_list":null,"apc_paid":null,"fwci":2.4808,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90140979,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"709","last_page":"720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9887999892234802,"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":[{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.8008676767349243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7755157947540283},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45768582820892334},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44290685653686523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34839048981666565},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33392733335494995},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.119545578956604}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.8008676767349243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7755157947540283},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45768582820892334},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44290685653686523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34839048981666565},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33392733335494995},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.119545578956604}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3589334.3645542","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589334.3645542","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2406.19832","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.19832","pdf_url":"https://arxiv.org/pdf/2406.19832","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"}],"best_oa_location":{"id":"doi:10.1145/3589334.3645542","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589334.3645542","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2008857988","https://openalex.org/W2097308346","https://openalex.org/W2129893339","https://openalex.org/W2154851992","https://openalex.org/W2914721378","https://openalex.org/W2962810718","https://openalex.org/W2990138404","https://openalex.org/W2999905431","https://openalex.org/W3030204405","https://openalex.org/W3035664258","https://openalex.org/W3041877813","https://openalex.org/W3045200674","https://openalex.org/W3080083111","https://openalex.org/W3104097132","https://openalex.org/W3126138172","https://openalex.org/W3144386677","https://openalex.org/W3212385273","https://openalex.org/W4282970521","https://openalex.org/W4286793199","https://openalex.org/W4287126984","https://openalex.org/W4287285710","https://openalex.org/W4297817821","https://openalex.org/W4385568239","https://openalex.org/W6791923836","https://openalex.org/W6798426842"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W2354431794","https://openalex.org/W2166690231","https://openalex.org/W2950637221"],"abstract_inverted_index":{"Recent":[0],"works":[1],"have":[2],"introduced":[3],"GNN-to-MLP":[4],"knowledge":[5,150],"distillation":[6,109],"(KD)":[7],"frameworks":[8,23],"to":[9,36,51,62,113,155,166],"combine":[10],"both":[11],"GNN's":[12],"superior":[13],"performance":[14],"and":[15,131,181,196,208],"MLP's":[16],"fast":[17],"inference":[18],"speed.":[19],"However,":[20],"existing":[21],"KD":[22,47,95],"are":[24,213],"primarily":[25],"designed":[26],"for":[27,48,102],"node":[28,49,169],"classification":[29,38,50],"within":[30],"single":[31],"graphs,":[32],"leaving":[33],"their":[34],"applicability":[35],"graph":[37,52,69,103,142],"largely":[39],"unexplored.":[40],"Two":[41],"main":[42],"challenges":[43],"arise":[44],"when":[45],"extending":[46],"classification:":[53],"(1)":[54],"The":[55,72,201],"inherent":[56],"sparsity":[57],"of":[58,75,123,140,148,177,194,210],"learning":[59],"signals":[60],"due":[61],"soft":[63],"labels":[64],"being":[65],"generated":[66],"at":[67],"the":[68,115,141,152,156,161,175,178,205],"level;":[70],"(2)":[71],"limited":[73,82],"expressiveness":[74,176],"student":[76,157,179],"MLPs,":[77],"especially":[78],"in":[79,111],"datasets":[80,195],"with":[81],"input":[83],"feature":[84,170],"spaces.":[85],"To":[86,159],"overcome":[87],"these":[88],"challenges,":[89],"we":[90,106],"introduce":[91],"MuGSI,":[92],"a":[93,137,145,168,192],"novel":[94],"framework":[96],"that":[97],"employs":[98],"Multi-granularity":[99],"Structural":[100],"Information":[101],"classification.":[104],"Specifically,":[105],"propose":[107],"multi-granularity":[108],"loss":[110,119],"MuGSI":[112,164],"tackle":[114,160],"first":[116],"challenge.":[117],"This":[118],"function":[120],"is":[121],"composed":[122],"three":[124],"distinct":[125],"components:":[126],"graph-level":[127],"distillation,":[128,130],"subgraph-level":[129],"node-level":[132],"distillation.":[133],"Each":[134],"component":[135],"targets":[136],"specific":[138],"granularity":[139],"structure,":[143],"ensuring":[144],"comprehensive":[146],"transfer":[147],"structural":[149],"from":[151],"teacher":[153],"model":[154,199],"model.":[158],"second":[162],"challenge,":[163],"proposes":[165],"incorporate":[167],"augmentation":[171],"component,":[172],"thereby":[173],"enhancing":[174],"MLPs":[180],"making":[182],"them":[183],"more":[184],"capable":[185],"learners.":[186],"We":[187],"perform":[188],"extensive":[189],"experiments":[190],"across":[191],"variety":[193],"different":[197],"teacher/student":[198],"architectures.":[200],"experiment":[202],"results":[203],"demonstrate":[204],"effectiveness,":[206],"efficiency,":[207],"robustness":[209],"MuGSI.":[211],"Codes":[212],"publicly":[214],"available":[215],"at:":[216],"https://github.com/tianyao-aka/MuGSI.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}