{"id":"https://openalex.org/W4385567998","doi":"https://doi.org/10.1145/3580305.3599414","title":"Leveraging Relational Graph Neural Network for Transductive Model Ensemble","display_name":"Leveraging Relational Graph Neural Network for Transductive Model Ensemble","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385567998","doi":"https://doi.org/10.1145/3580305.3599414"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5103010270","display_name":"Zhengyu Hu","orcid":"https://orcid.org/0009-0007-3097-9714"},"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":"Zhengyu Hu","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091316967","display_name":"Jieyu Zhang","orcid":"https://orcid.org/0000-0002-1846-2436"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jieyu Zhang","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342615","display_name":"Haonan Wang","orcid":"https://orcid.org/0009-0006-6963-8987"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haonan Wang","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781720","display_name":"Siwei Liu","orcid":"https://orcid.org/0000-0002-7326-2883"},"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":"Siwei Liu","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060335069","display_name":"Shangsong Liang","orcid":"https://orcid.org/0000-0003-1625-2168"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"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","CN"],"is_corresponding":false,"raw_author_name":"Shangsong Liang","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence &amp; Sun Yat-sen University, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence &amp; Sun Yat-sen University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210113480","https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103010270"],"corresponding_institution_ids":["https://openalex.org/I4210113480"],"apc_list":null,"apc_paid":null,"fwci":1.3965,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84839119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"775","last_page":"787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9832000136375427,"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":0.7686343193054199},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6472163796424866},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.6350940465927124},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6090714931488037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.567546010017395},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5271023511886597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5256693959236145},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5193706154823303},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4972253143787384},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42540404200553894},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4145236015319824},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30006393790245056},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29955923557281494}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7686343193054199},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6472163796424866},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.6350940465927124},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6090714931488037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.567546010017395},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5271023511886597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5256693959236145},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5193706154823303},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4972253143787384},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42540404200553894},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4145236015319824},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30006393790245056},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29955923557281494},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1539376383","https://openalex.org/W1763872900","https://openalex.org/W2038765747","https://openalex.org/W2102605133","https://openalex.org/W2129000925","https://openalex.org/W2152161678","https://openalex.org/W2165698076","https://openalex.org/W2533598788","https://openalex.org/W2801692050","https://openalex.org/W2804935296","https://openalex.org/W2907492528","https://openalex.org/W2963415211","https://openalex.org/W2963639956","https://openalex.org/W2981848390","https://openalex.org/W2998496395","https://openalex.org/W3039075121","https://openalex.org/W3041133507","https://openalex.org/W3094193403","https://openalex.org/W3097217077","https://openalex.org/W3100993589","https://openalex.org/W3105472188","https://openalex.org/W3128632573","https://openalex.org/W3153321424","https://openalex.org/W3167471487","https://openalex.org/W3168406300","https://openalex.org/W3208016069","https://openalex.org/W3213001067","https://openalex.org/W3213112773","https://openalex.org/W3214674106","https://openalex.org/W3216470025","https://openalex.org/W4221155125","https://openalex.org/W4225875565","https://openalex.org/W4283798830","https://openalex.org/W4287121295","https://openalex.org/W4319734845","https://openalex.org/W6601048702","https://openalex.org/W6784958482","https://openalex.org/W6804167365"],"related_works":["https://openalex.org/W3181676408","https://openalex.org/W2112176619","https://openalex.org/W1549959306","https://openalex.org/W320292658","https://openalex.org/W2212764924","https://openalex.org/W2186138942","https://openalex.org/W2806326686","https://openalex.org/W2001007279","https://openalex.org/W2079674650","https://openalex.org/W2945061532"],"abstract_inverted_index":{"Traditional":[0],"methods":[1],"of":[2,107,139,178],"pre-training,":[3],"fine-tuning,":[4],"and":[5,12,59,78,85,99,151,169],"ensembling":[6],"often":[7],"overlook":[8],"essential":[9],"relational":[10,28,32,64,140,179],"data":[11,57,84],"task":[13,60,120],"interconnections.":[14],"To":[15],"address":[16],"this":[17,27],"gap,":[18],"our":[19,155,162,191],"study":[20],"presents":[21],"a":[22,31,67,90],"novel":[23,91],"approach":[24,72],"to":[25,75,147],"harnessing":[26],"information":[29,93,133,141],"via":[30],"graph-based":[33],"model.":[34],"We":[35,159],"introduce":[36],"Relational":[37],"grAph":[38],"Model":[39],"ensemBLE":[40],"model,":[41],"abbreviated":[42],"as":[43],"RAMBLE.":[44],"This":[45,70,101],"model":[46,79,164],"distinguishes":[47],"itself":[48],"by":[49],"performing":[50],"class":[51],"label":[52],"inference":[53],"simultaneously":[54,122],"across":[55,165],"all":[56,183],"nodes":[58],"nodes,":[61],"employing":[62],"the":[63,80,105,118,137,170,174],"graph":[65],"in":[66,113,132],"transductive":[68],"manner.":[69],"fine-grained":[71],"allows":[73,145],"us":[74,146],"better":[76],"comprehend":[77],"intricate":[81],"interplay":[82],"between":[83],"tasks.":[86,193],"Furthermore,":[87],"we":[88],"incorporate":[89],"variational":[92],"bottleneck-guided":[94],"scheme":[95],"for":[96,117,142],"embedding":[97,143],"fusion":[98,110,144],"aggregation.":[100],"innovative":[102],"technique":[103],"facilitates":[104],"creation":[106],"an":[108],"informative":[109],"embedding,":[111],"honing":[112],"on":[114,154,190],"embeddings":[115],"beneficial":[116],"intended":[119],"while":[121],"filtering":[123],"out":[124],"potential":[125],"noise-laden":[126],"embeddings.":[127],"Our":[128],"theoretical":[129],"analysis,":[130],"grounded":[131],"theory,":[134],"confirms":[135],"that":[136],"use":[138],"achieve":[148],"higher":[149],"upper":[150],"lower":[152],"bounds":[153],"target":[156,192],"task's":[157],"accuracy.":[158],"thoroughly":[160],"assess":[161],"proposed":[163],"eight":[166],"diverse":[167],"datasets,":[168],"experimental":[171],"results":[172],"demonstrate":[173],"model's":[175],"effective":[176],"utilization":[177],"knowledge":[180],"derived":[181],"from":[182],"pre-trained":[184],"models,":[185],"thereby":[186],"enhancing":[187],"its":[188],"performance":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
