{"id":"https://openalex.org/W4385763879","doi":"https://doi.org/10.24963/ijcai.2023/681","title":"Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network","display_name":"Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385763879","doi":"https://doi.org/10.24963/ijcai.2023/681"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/681","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/681","pdf_url":"https://www.ijcai.org/proceedings/2023/0681.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0681.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028350050","display_name":"Jiacheng Ma","orcid":"https://orcid.org/0000-0001-9285-422X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Ma","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University","Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373563","display_name":"Fan Li","orcid":"https://orcid.org/0000-0002-2807-5720"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Li","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University","Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050699453","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0001-9646-3023"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University","Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046655494","display_name":"Zhi\u2010Kang Xu","orcid":"https://orcid.org/0000-0002-2261-7162"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikang Xu","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University","Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069869295","display_name":"Dawei Cheng","orcid":"https://orcid.org/0000-0002-5877-7387"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]},{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dawei Cheng","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University","Shanghai Artificial Intelligence Laboratory","Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627878","display_name":"Yi Ouyang","orcid":"https://orcid.org/0000-0003-0556-4393"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Ouyang","raw_affiliation_strings":["Tencent Jarvis Laboratory","Tencent Jarvis Laboratory, Shenzhen, China","Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Laboratory","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Jarvis Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059804502","display_name":"Ruihui Zhao","orcid":"https://orcid.org/0000-0001-8070-5008"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruihui Zhao","raw_affiliation_strings":["Tencent Jarvis Laboratory","Tencent Jarvis Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Laboratory","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Jarvis Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068246417","display_name":"Jianguang Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguang Zheng","raw_affiliation_strings":["Tencent Jarvis Laboratory","Tencent Jarvis Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Laboratory","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Jarvis Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Tencent Jarvis Laboratory","Tencent Jarvis Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Laboratory","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Jarvis Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066099338","display_name":"Changjun Jiang","orcid":"https://orcid.org/0000-0003-0637-9317"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjun Jiang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University","Shanghai Artificial Intelligence Laboratory","Shanghai Artificial Intelligence Laboratory, Shanghai, China","Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5069869295"],"corresponding_institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4210100255","https://openalex.org/I4391012619"],"apc_list":null,"apc_paid":null,"fwci":2.5695,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91583116,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6138","last_page":"6146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9887999892234802,"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":0.9887999892234802,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9882000088691711,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9882000088691711,"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":0.7515361309051514},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6480072736740112},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5466864109039307},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4702775776386261},{"id":"https://openalex.org/keywords/social-graph","display_name":"Social graph","score":0.42046016454696655},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.41910386085510254},{"id":"https://openalex.org/keywords/insurance-fraud","display_name":"Insurance fraud","score":0.4162719249725342},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.41524776816368103},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40134498476982117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31206753849983215},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2296634316444397},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.20426255464553833},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.17536377906799316},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.15732350945472717},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11159491539001465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515361309051514},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6480072736740112},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5466864109039307},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4702775776386261},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.42046016454696655},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.41910386085510254},{"id":"https://openalex.org/C2778976927","wikidata":"https://www.wikidata.org/wiki/Q838081","display_name":"Insurance fraud","level":2,"score":0.4162719249725342},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41524776816368103},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40134498476982117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31206753849983215},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2296634316444397},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.20426255464553833},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.17536377906799316},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.15732350945472717},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11159491539001465},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/681","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/681","pdf_url":"https://www.ijcai.org/proceedings/2023/0681.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/681","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/681","pdf_url":"https://www.ijcai.org/proceedings/2023/0681.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G5722224901","display_name":null,"funder_award_id":"62102287","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5848258319","display_name":null,"funder_award_id":"0 and","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385763879.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W205883653","https://openalex.org/W573042772","https://openalex.org/W1522301498","https://openalex.org/W1854214752","https://openalex.org/W2569864051","https://openalex.org/W2782767340","https://openalex.org/W2794492243","https://openalex.org/W2803727259","https://openalex.org/W2887974490","https://openalex.org/W2897815649","https://openalex.org/W2955991312","https://openalex.org/W2964015378","https://openalex.org/W3035587851","https://openalex.org/W3068123808","https://openalex.org/W3089258356","https://openalex.org/W3098259638","https://openalex.org/W3119510601","https://openalex.org/W3141797743","https://openalex.org/W3156441686","https://openalex.org/W3156449551","https://openalex.org/W3169637772","https://openalex.org/W3177385106","https://openalex.org/W3202917770","https://openalex.org/W4220721362","https://openalex.org/W4220759569","https://openalex.org/W4280545892","https://openalex.org/W4281655877","https://openalex.org/W4288276219","https://openalex.org/W4297571622"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2735598854","https://openalex.org/W2784233313","https://openalex.org/W4245709619","https://openalex.org/W4390437572"],"abstract_inverted_index":{"Medical":[0],"insurance":[1,71,140],"plays":[2],"a":[3,59,79,96,137],"vital":[4],"role":[5],"in":[6,17,49,127],"modern":[7],"society,":[8],"yet":[9],"organized":[10,51,107,156],"healthcare":[11],"fraud":[12,36,108,157],"causes":[13],"billions":[14],"of":[15,24,106,148],"dollars":[16],"annual":[18],"losses,":[19],"severely":[20],"harming":[21],"the":[22,25,86,90,103,111,146],"sustainability":[23],"social":[26],"welfare":[27],"system.":[28],"Existing":[29],"works":[30],"mostly":[31],"focus":[32],"on":[33,136],"detecting":[34],"individual":[35],"entities":[37],"or":[38],"claims,":[39],"ignoring":[40],"hidden":[41],"conspiracy":[42],"patterns.":[43],"Hence,":[44],"they":[45],"face":[46],"severe":[47],"challenges":[48],"tackling":[50],"fraud.":[52],"In":[53,74],"this":[54],"paper,":[55],"we":[56,76,94],"proposed":[57,150],"RDPGL,":[58],"novel":[60],"Risk":[61],"Diffusion-based":[62],"Parallel":[63],"Graph":[64],"Learning":[65],"approach,":[66,151],"to":[67,84,101],"fighting":[68],"against":[69],"medical":[70,139],"criminal":[72],"gangs.":[73],"particular,":[75],"first":[77],"leverage":[78],"heterogeneous":[80],"graph":[81],"attention":[82],"network":[83],"encode":[85],"local":[87,116],"context":[88,105],"from":[89],"beneficiary-provider":[91],"graph.":[92,114],"Then,":[93],"devise":[95],"community-aware":[97],"risk":[98],"diffusion":[99],"model":[100],"infer":[102],"global":[104,118],"behaviors":[109],"with":[110,159,164],"claim-claim":[112],"relation":[113],"The":[115,142],"and":[117,124],"representations":[119],"are":[120],"parallel":[121],"concatenated":[122],"together":[123],"trained":[125],"simultaneously":[126],"an":[128],"end-to-end":[129],"manner.":[130],"Our":[131],"approach":[132],"is":[133],"extensively":[134],"evaluated":[135],"real-world":[138],"dataset.":[141],"experimental":[143],"results":[144],"demonstrate":[145],"superiority":[147],"our":[149],"which":[152],"could":[153],"detect":[154],"more":[155],"claims":[158],"relatively":[160],"high":[161],"precision":[162],"compared":[163],"state-of-the-art":[165],"baselines.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
