{"id":"https://openalex.org/W4413554882","doi":"https://doi.org/10.1109/access.2025.3602411","title":"Subgraph-Aware Joint Modeling for Graph Classification via Efficient Frequent Pattern Mining and Fusion","display_name":"Subgraph-Aware Joint Modeling for Graph Classification via Efficient Frequent Pattern Mining and Fusion","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413554882","doi":"https://doi.org/10.1109/access.2025.3602411"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3602411","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3602411","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3602411","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Weiyao Xu","orcid":"https://orcid.org/0009-0000-1066-1361"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weiyao Xu","raw_affiliation_strings":["Fordham University, New York City, NY, USA","Fordham University, New York City, USA"],"raw_orcid":"https://orcid.org/0009-0000-1066-1361","affiliations":[{"raw_affiliation_string":"Fordham University, New York City, NY, USA","institution_ids":["https://openalex.org/I164389053"]},{"raw_affiliation_string":"Fordham University, New York City, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102755147","display_name":"Yumeng Sun","orcid":"https://orcid.org/0000-0003-4070-374X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yumeng Sun","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA","Rochester Institute of Technology, Rochester, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007201417","display_name":"Yumeng Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yumeng MA","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA","Arizona State University, Tempe, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu Cheng","orcid":"https://orcid.org/0009-0005-5206-3948"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Cheng","raw_affiliation_strings":["Fordham University, New York City, NY, USA","Fordham University, New York City, USA"],"raw_orcid":"https://orcid.org/0009-0005-5206-3948","affiliations":[{"raw_affiliation_string":"Fordham University, New York City, NY, USA","institution_ids":["https://openalex.org/I164389053"]},{"raw_affiliation_string":"Fordham University, New York City, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454052","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-0750-1030"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA","University of Minnesota, Minneapolis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719494","display_name":"Yuan Sheng","orcid":"https://orcid.org/0000-0001-8598-3058"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]},{"id":"https://openalex.org/I4210152629","display_name":"Eastern University","ror":"https://ror.org/05e2ncr14","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210152629"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["BD","US"],"is_corresponding":false,"raw_author_name":"Yuan Sheng","raw_affiliation_strings":["Northeastern University, Seattle, MA, USA","Northeastern University, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University, Seattle, MA, USA","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I4210152629"]},{"raw_affiliation_string":"Northeastern University, Seattle, USA","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080114640","display_name":"Yiwei Zhang","orcid":"https://orcid.org/0000-0003-2050-572X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiwei Zhang","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA","Cornell University, Ithaca, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085171570","display_name":"Junliang Du","orcid":"https://orcid.org/0000-0002-4306-6339"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junliang Du","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4306-6339","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7655,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74138934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"13","issue":null,"first_page":"151894","last_page":"151906"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9914000034332275,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9914000034332275,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9898999929428101,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.901199996471405,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.7260915637016296},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5155537128448486},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4522925913333893},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43873918056488037},{"id":"https://openalex.org/keywords/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.42827683687210083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42533785104751587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3536415994167328},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25292301177978516},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06857946515083313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7260915637016296},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5155537128448486},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4522925913333893},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43873918056488037},{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.42827683687210083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42533785104751587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3536415994167328},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25292301177978516},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06857946515083313},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3602411","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3602411","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a18a04b46c94480098aa30e6a7756eae","is_oa":true,"landing_page_url":"https://doaj.org/article/a18a04b46c94480098aa30e6a7756eae","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 151894-151906 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3602411","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3602411","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2788178129","https://openalex.org/W3154850555","https://openalex.org/W3188522200","https://openalex.org/W4210266003","https://openalex.org/W4291972642","https://openalex.org/W4315489353","https://openalex.org/W4317624859","https://openalex.org/W4318563515","https://openalex.org/W4319966459","https://openalex.org/W4323864059","https://openalex.org/W4327813569","https://openalex.org/W4328008037","https://openalex.org/W4367046771","https://openalex.org/W4380091476","https://openalex.org/W4382202833","https://openalex.org/W4382202967","https://openalex.org/W4383468961","https://openalex.org/W4386475637","https://openalex.org/W4388190044","https://openalex.org/W4389355638","https://openalex.org/W4391093539","https://openalex.org/W4392203449","https://openalex.org/W4392902629","https://openalex.org/W4394603841","https://openalex.org/W4394758790","https://openalex.org/W4394989633","https://openalex.org/W4403231617","https://openalex.org/W4406028248","https://openalex.org/W4406739626","https://openalex.org/W4407735435","https://openalex.org/W4409329779","https://openalex.org/W4409777651"],"related_works":["https://openalex.org/W2532922352","https://openalex.org/W2604893261","https://openalex.org/W2361654510","https://openalex.org/W2954463587","https://openalex.org/W2382155842","https://openalex.org/W2036065890","https://openalex.org/W2604114816","https://openalex.org/W1532092812","https://openalex.org/W2784583031","https://openalex.org/W2393701947"],"abstract_inverted_index":{"This":[0,163],"paper":[1],"proposes":[2],"a":[3,62,67,125,166],"subgraph-aware":[4,63,153],"classification":[5],"framework":[6,170],"that":[7,108],"integrates":[8],"efficient":[9],"frequent":[10,147],"subgraph":[11,94,148],"mining":[12,35,149],"with":[13,96],"graph":[14,46,172],"neural":[15],"networks":[16],"(GNNs)":[17],"to":[18,37,92],"address":[19],"the":[20,102,142,146,152],"limitations":[21],"of":[22,79,122,128,144],"existing":[23],"GNNs":[24],"in":[25,156,183],"capturing":[26],"explicit":[27],"local":[28,80],"structures.":[29],"Specifically,we":[30],"first":[31],"introduce":[32],"an":[33,120],"improved":[34],"strategy":[36],"extract":[38],"representative":[39],"and":[40,52,71,81,104,124,138,151,160,168,180],"low-redundancy":[41],"structural":[42,178],"patterns":[43,56],"from":[44],"large-scale":[45],"data,":[47],"significantly":[48],"reducing":[49],"computational":[50],"complexity":[51],"pattern":[53],"duplication.":[54],"These":[55],"are":[57],"then":[58],"dynamically":[59],"injected":[60],"into":[61,177],"GNN":[64],"module":[65],"via":[66],"subgraph-corrected":[68],"attention":[69],"mechanism":[70,88,155],"gated":[72],"fusion":[73,154,182],"strategy,":[74],"enabling":[75],"deep":[76],"collaborative":[77],"modeling":[78],"global":[82],"semantics.":[83],"An":[84],"end-to-end":[85],"joint":[86],"training":[87],"is":[89],"also":[90],"introduced":[91],"coordinate":[93],"selection":[95],"representation":[97,158],"learning.":[98,185],"Experimental":[99],"results":[100],"on":[101],"IMDB-MULTI":[103],"REDDIT-MULTI-12K":[105],"datasets":[106],"demonstrate":[107],"our":[109,117],"method":[110],"outperforms":[111],"several":[112],"state-of-the-art":[113],"baselines.":[114],"On":[115],"IMDB-MULTI,":[116],"model":[118,161],"achieves":[119],"Accuracy":[121],"78.6%":[123],"Macro-F1":[126],"score":[127],"77.4%,":[129],"showing":[130],"notable":[131],"gains":[132],"over":[133],"competing":[134],"approaches.":[135],"Further":[136],"ablation":[137],"visualization":[139],"analyses":[140],"confirm":[141],"importance":[143],"both":[145],"component":[150],"enhancing":[157],"quality":[159],"interpretability.":[162],"work":[164],"presents":[165],"unified":[167],"interpretable":[169],"for":[171],"classification,":[173],"offering":[174],"new":[175],"insights":[176],"perception":[179],"feature":[181],"GNN-based":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
