{"id":"https://openalex.org/W4390733956","doi":"https://doi.org/10.1145/3603273.3635233","title":"A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization","display_name":"A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization","publication_year":2023,"publication_date":"2023-11-18","ids":{"openalex":"https://openalex.org/W4390733956","doi":"https://doi.org/10.1145/3603273.3635233"},"language":"en","primary_location":{"id":"doi:10.1145/3603273.3635233","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603273.3635233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications","raw_type":"proceedings-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/A5041086930","display_name":"Jingjun Bi","orcid":"https://orcid.org/0000-0003-3802-7690"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jingjun Bi","raw_affiliation_strings":["University of the Basque Country, Spain"],"raw_orcid":"https://orcid.org/0000-0003-3802-7690","affiliations":[{"raw_affiliation_string":"University of the Basque Country, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081042741","display_name":"Fadi Dornaika","orcid":"https://orcid.org/0000-0001-6581-9680"},"institutions":[{"id":"https://openalex.org/I110594554","display_name":"Ikerbasque","ror":"https://ror.org/01cc3fy72","country_code":"ES","type":"other","lineage":["https://openalex.org/I110594554"]},{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fadi Dornaika","raw_affiliation_strings":["University of the Basque Country &amp; IKERBASQUE Foundation, Spain"],"raw_orcid":"https://orcid.org/0000-0001-6581-9680","affiliations":[{"raw_affiliation_string":"University of the Basque Country &amp; IKERBASQUE Foundation, Spain","institution_ids":["https://openalex.org/I110594554","https://openalex.org/I169108374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041086930"],"corresponding_institution_ids":["https://openalex.org/I169108374"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19068506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"336","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9491000175476074,"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"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9383000135421753,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6641392111778259},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6069064736366272},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5377362966537476},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.508468508720398},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5034231543540955},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5023260116577148},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4831632971763611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4771387279033661},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.43797701597213745},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.42922306060791016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35854411125183105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6641392111778259},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6069064736366272},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5377362966537476},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.508468508720398},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5034231543540955},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5023260116577148},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4831632971763611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4771387279033661},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.43797701597213745},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.42922306060791016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35854411125183105},{"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3603273.3635233","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603273.3635233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1963932623","https://openalex.org/W1992535061","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2162915993","https://openalex.org/W2594481151","https://openalex.org/W2788284887","https://openalex.org/W2907492528","https://openalex.org/W2948729509","https://openalex.org/W2963017945","https://openalex.org/W2963084622","https://openalex.org/W3017967922","https://openalex.org/W3104097132","https://openalex.org/W3162272824","https://openalex.org/W3185561982","https://openalex.org/W3212776961","https://openalex.org/W3215531133","https://openalex.org/W4226276166","https://openalex.org/W4286210821"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W1707372784","https://openalex.org/W4213275102"],"abstract_inverted_index":{"Deep":[0],"Graph":[1,19,108],"Neural":[2],"Networks":[3],"(GNN)":[4],"have":[5],"gained":[6],"increasing":[7],"prominence":[8],"across":[9],"various":[10],"fields":[11],"and":[12,43,91,114,127,138],"applications":[13],"in":[14,55,124],"recent":[15],"years.":[16],"In":[17,66,97],"particular,":[18,67],"Convolutional":[20],"Network":[21],"(GCN),":[22],"a":[23,29,104],"specialized":[24],"GNN,":[25],"has":[26,63],"emerged":[27],"as":[28],"powerful":[30],"tool":[31],"for":[32],"obtaining":[33],"data":[34],"representations":[35],"through":[36,46],"the":[37,56,73,88,125,168,171],"processes":[38],"of":[39,58,77,170],"graph-based":[40],"node":[41],"smoothing":[42,149],"implementing":[44],"transformations":[45],"neural":[47],"networks":[48],"layer":[49],"by":[50,150],"layer.":[51],"Although":[52],"GCN":[53,143],"excels":[54],"area":[57],"semi-supervised":[59,107,174],"learning,":[60],"it":[61,68,146],"also":[62,133],"its":[64],"weaknesses.":[65],"1)":[69],"tends":[70],"to":[71,99],"overlook":[72],"implicit":[74],"manifold":[75],"structure":[76],"graph":[78,84,89,126,136,139],"data,":[79],"2)":[80],"focuses":[81],"primarily":[82],"on":[83,158],"convolutions,":[85],"often":[86],"neglects":[87],"construction,":[90],"3)":[92],"rarely":[93],"addresses":[94],"topological":[95,122],"imbalances.":[96],"response":[98],"these":[100],"limitations,":[101],"we":[102],"present":[103],"comprehensive":[105],"deep":[106],"Learning":[109],"approach":[110,120],"incorporating":[111],"Node":[112],"Re-weighting":[113],"Manifold":[115],"Regularization":[116],"(ReNode-GLCNMR).":[117],"This":[118],"innovative":[119],"corrects":[121],"inconsistencies":[123],"adaptively":[128],"reweights":[129],"labeled":[130],"nodes.":[131],"It":[132],"seamlessly":[134],"combines":[135],"learning":[137],"convolution":[140],"within":[141],"one":[142],"architecture.":[144],"Moreover,":[145],"imposes":[147],"label":[148],"utilizing":[151],"an":[152],"unsupervised":[153],"loss":[154],"item.":[155],"Our":[156],"experiments":[157],"eight":[159],"benchmark":[160],"datasets":[161],"demonstrate":[162],"that":[163],"our":[164],"ReNode-GLCNMR":[165],"model":[166],"surpasses":[167],"performance":[169],"most":[172],"advanced":[173],"GNN":[175],"methods":[176],"available.":[177]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
