{"id":"https://openalex.org/W4408611446","doi":"https://doi.org/10.1109/icaiic64266.2025.10920663","title":"GATreg - Graph Attention Networks with Regularization","display_name":"GATreg - Graph Attention Networks with Regularization","publication_year":2025,"publication_date":"2025-02-18","ids":{"openalex":"https://openalex.org/W4408611446","doi":"https://doi.org/10.1109/icaiic64266.2025.10920663"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic64266.2025.10920663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic64266.2025.10920663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5009942977","display_name":"Mariam Ishtiaq","orcid":"https://orcid.org/0000-0003-1450-4149"},"institutions":[{"id":"https://openalex.org/I4210161173","display_name":"Korea Railroad Research Institute","ror":"https://ror.org/04gzcxt97","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4210161173","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Mariam Ishtiaq","raw_affiliation_strings":["Korea Railroad Research Institute, Transportation System Engineering University of Science and Technology,AI Railroad Research Department,Uiwang,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea Railroad Research Institute, Transportation System Engineering University of Science and Technology,AI Railroad Research Department,Uiwang,Republic of Korea","institution_ids":["https://openalex.org/I4210161173","https://openalex.org/I88761825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074034725","display_name":"Jong-Un Won","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161173","display_name":"Korea Railroad Research Institute","ror":"https://ror.org/04gzcxt97","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4210161173","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Un Won","raw_affiliation_strings":["Korea Railroad Research Institute, Transportation System Engineering University of Science and Technology,AI Railroad Research Department,Uiwang,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea Railroad Research Institute, Transportation System Engineering University of Science and Technology,AI Railroad Research Department,Uiwang,Republic of Korea","institution_ids":["https://openalex.org/I4210161173","https://openalex.org/I88761825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061588248","display_name":"Park Sangchan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116376","display_name":"SUNY Korea","ror":"https://ror.org/02d07gm56","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210116376"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangchan Park","raw_affiliation_strings":["The State University of New York Korea,Department of Technology and Society,Incheon,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"The State University of New York Korea,Department of Technology and Society,Incheon,Republic of Korea","institution_ids":["https://openalex.org/I4210116376"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009942977"],"corresponding_institution_ids":["https://openalex.org/I4210161173","https://openalex.org/I88761825"],"apc_list":null,"apc_paid":null,"fwci":3.1318,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90262011,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1022","last_page":"1026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9135000109672546,"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":0.9135000109672546,"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/T10057","display_name":"Face and Expression Recognition","score":0.9086999893188477,"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/T10320","display_name":"Neural Networks and Applications","score":0.9024999737739563,"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/computer-science","display_name":"Computer science","score":0.6820643544197083},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.46360740065574646},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4272539019584656},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3739061951637268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30910760164260864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820643544197083},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.46360740065574646},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4272539019584656},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3739061951637268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30910760164260864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic64266.2025.10920663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic64266.2025.10920663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322096","display_name":"Korea Railroad Research Institute","ror":"https://ror.org/04gzcxt97"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W4392948297","https://openalex.org/W4400229168","https://openalex.org/W4401692204","https://openalex.org/W6726873649","https://openalex.org/W6782641590","https://openalex.org/W6862244440"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"To":[0,38],"improve":[1,111],"the":[2,62,97,112,131],"applicability":[3],"and":[4,15,79,95],"performance":[5,64],"of":[6,27,42,65,86,115,136],"graph":[7,11,16],"neural":[8],"networks":[9,13,18],"(GNNs);":[10],"convolution":[12],"(GCNs)":[14],"attention":[17],"(GATs)":[19],"have":[20,96],"shown":[21],"promising":[22],"ways":[23],"forward.":[24],"However,":[25],"lack":[26],"generalizability":[28],"has":[29,70],"been":[30,71],"a":[31,46,56],"major":[32],"bottleneck":[33],"for":[34,49,102,130,138],"their":[35],"widespread":[36],"applications.":[37],"overcome":[39],"this":[40,140],"limitation":[41],"GNNs,":[43],"we":[44],"propose":[45],"regularization":[47],"scheme":[48],"GAT,":[50],"termed":[51],"as":[52],"GATreg.":[53,66],"We":[54],"use":[55],"novel":[57],"loss":[58],"function":[59],"to":[60,92,99,110,122],"achieve":[61],"optimal":[63],"The":[67],"proposed":[68],"model":[69],"analyzed":[72,101],"using":[73],"3":[74],"benchmark":[75],"datasets:":[76],"Cora,":[77],"Citeseer,":[78],"Pubmed.":[80],"Our":[81],"results":[82],"show":[83],"prominent":[84],"improvements":[85],"classification":[87],"accuracy,":[88],"around":[89],"3%,":[90],"compared":[91],"vanilla":[93],"models":[94,119],"potential":[98],"be":[100,108,128],"further":[103],"enhancements.":[104],"Additionally,":[105],"GATs":[106],"can":[107,126],"explored":[109],"reasoning":[113],"ability":[114],"multimodal":[116],"large":[117],"language":[118],"(LLMs),":[120],"particularly":[121],"eliminate":[123],"hallucinations.":[124],"They":[125],"also":[127],"used":[129],"quantum":[132],"information":[133],"theory-based":[134],"analysis":[135],"GATs,":[137],"which":[139],"work":[141],"analyzes":[142],"recent":[143],"literature.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
