{"id":"https://openalex.org/W4385656722","doi":"https://doi.org/10.1109/tkde.2023.3303212","title":"Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement","display_name":"Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement","publication_year":2023,"publication_date":"2023-08-08","ids":{"openalex":"https://openalex.org/W4385656722","doi":"https://doi.org/10.1109/tkde.2023.3303212"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3303212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3303212","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101553530","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-1479-576X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["College of Computer Science and Technology, and the School of Artificial Intelligence, Jilin University, Changchun, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0002-1479-576X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, and the School of Artificial Intelligence, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014352018","display_name":"Liang Hu","orcid":"https://orcid.org/0000-0002-6077-1873"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Hu","raw_affiliation_strings":["College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University, Changchun, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0002-6077-1873","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043782065","display_name":"Xiaofeng Cao","orcid":"https://orcid.org/0000-0002-7391-0334"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Cao","raw_affiliation_strings":["School of Artificial Intelligence, Jilin University, Changchun, Jilin, China","Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, MOE, China"],"raw_orcid":"https://orcid.org/0000-0002-7391-0334","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, MOE, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029392006","display_name":"Yi Chang","orcid":"https://orcid.org/0000-0003-2697-8093"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210164189","display_name":"Jilin International Studies University","ror":"https://ror.org/05mvcw862","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chang","raw_affiliation_strings":["School of Artificial Intelligence, Jilin University, Changchun, Jilin, China","International Center of Future Science, Jilin University, Changchun, Jilin, China","Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, MOE, China"],"raw_orcid":"https://orcid.org/0000-0003-2697-8093","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"International Center of Future Science, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210164189"]},{"raw_affiliation_string":"Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, MOE, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Ivor W. Tsang","orcid":"https://orcid.org/0000-0003-2211-8176"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ivor W. Tsang","raw_affiliation_strings":["Centre for Frontier AI Research and the Institute of High-Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore"],"raw_orcid":"https://orcid.org/0000-0003-2211-8176","affiliations":[{"raw_affiliation_string":"Centre for Frontier AI Research and the Institute of High-Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3004594783"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1866,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82409798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"1099","last_page":"1112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9185000061988831,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7144953608512878},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6482308506965637},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5191461443901062},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.512906551361084},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5122141242027283},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.49979686737060547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31772494316101074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7144953608512878},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6482308506965637},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5191461443901062},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.512906551361084},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5122141242027283},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.49979686737060547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31772494316101074},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3303212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3303212","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G524871825","display_name":null,"funder_award_id":"61976102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6789821807","display_name":null,"funder_award_id":"62206108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7138386155","display_name":null,"funder_award_id":"U19A2065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1854214752","https://openalex.org/W2022704179","https://openalex.org/W2070604790","https://openalex.org/W2095293504","https://openalex.org/W2107559689","https://openalex.org/W2153959628","https://openalex.org/W2803831897","https://openalex.org/W2914953695","https://openalex.org/W2945848398","https://openalex.org/W2964051675","https://openalex.org/W2964583308","https://openalex.org/W2998122931","https://openalex.org/W3025863369","https://openalex.org/W3037242362","https://openalex.org/W3042770487","https://openalex.org/W3047609316","https://openalex.org/W3098276446","https://openalex.org/W3099375322","https://openalex.org/W3128443161","https://openalex.org/W3160381762","https://openalex.org/W3208180646","https://openalex.org/W3217672792","https://openalex.org/W4251194840","https://openalex.org/W6631190155","https://openalex.org/W6639055396","https://openalex.org/W6680434193","https://openalex.org/W6699364125","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6748856961","https://openalex.org/W6751310286","https://openalex.org/W6752110883","https://openalex.org/W6760001035","https://openalex.org/W6762480061","https://openalex.org/W6768314895","https://openalex.org/W6771621015","https://openalex.org/W6771625333","https://openalex.org/W6772320042","https://openalex.org/W6776488958","https://openalex.org/W6777386883","https://openalex.org/W6779206375","https://openalex.org/W6779961489","https://openalex.org/W6779997951","https://openalex.org/W6782808188","https://openalex.org/W6783485119","https://openalex.org/W6784977419","https://openalex.org/W6796513057","https://openalex.org/W6841058540"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2149980199","https://openalex.org/W2019977573","https://openalex.org/W3125766170","https://openalex.org/W4226363941"],"abstract_inverted_index":{"Graph":[0],"neural":[1],"networks":[2],"(GNNs)":[3],"are":[4],"designed":[5],"to":[6,78,127],"perform":[7],"inference":[8],"on":[9,103],"data":[10],"described":[11],"by":[12],"graph-structured":[13],"node":[14,92,104,125,166,174,198],"features":[15,97,132],"and":[16,73,82,133,156],"topology":[17],"information.":[18],"From":[19],"the":[20,26,48,56,69,91,108,116,123,130,161,183,189,195],"perspective":[21],"of":[22,31,44,50,55,71,94,112,119,192],"graph":[23,57,96,145],"signal":[24,146],"denoising,":[25],"typical":[27],"message":[28,153],"passing":[29,154],"schemes":[30],"GNNs":[32],"act":[33],"as":[34],"a":[35,138,143,150],"globally":[36],"uniform":[37],"smoothing":[38,51,111],"that":[39,90],"minimizes":[40],"disagreements":[41,93,118],"between":[42],"embeddings":[43],"connected":[45],"nodes.":[46],"However,":[47],"level":[49],"over":[52],"different":[53],"regions":[54],"should":[58],"be":[59],"different,":[60],"especially":[61],"for":[62],"those":[63],"inter-class":[64],"regions.":[65],"This":[66],"deviation":[67],"limits":[68],"expressiveness":[70],"GNNs,":[72],"then":[74,141],"renders":[75],"them":[76],"fragile":[77],"over-smoothing,":[79],"long-range":[80],"dependencies,":[81],"non-homophily":[83],"settings.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88,121,140,176],"find":[89],"initial":[95,131],"can":[98],"present":[99,142],"more":[100,151],"trustworthy":[101],"constraints":[102],"embeddings,":[105],"thereby":[106],"enhancing":[107],"locally":[109],"adaptive":[110],"GNNs.":[113],"To":[114],"spread":[115],"inherent":[117],"nodes,":[120],"propose":[122],"Laplacian":[124,165],"disagreement":[126,180],"jointly":[128],"measure":[129],"output":[134,173],"embeddings.":[135],"With":[136],"such":[137],"measurement,":[139],"new":[144],"denoising":[147],"objective":[148],"deriving":[149],"effective":[152],"scheme":[155],"further":[157],"incorporate":[158],"it":[159],"into":[160,182],"GNN":[162,168],"architecture,":[163],"named":[164],"disagreement-based":[167],"(LND-GNN).":[169],"Learning":[170],"from":[171],"its":[172],"representations,":[175],"integrate":[177],"an":[178],"auxiliary":[179],"constraint":[181],"overall":[184],"classification":[185,199],"loss.":[186],"Experiments":[187],"demonstrate":[188],"expressive":[190],"ability":[191],"LND-GNN":[193],"in":[194],"downstream":[196],"semi-supervised":[197],"task.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}