{"id":"https://openalex.org/W2966295008","doi":"https://doi.org/10.24963/ijcai.2019/807","title":"Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation","display_name":"Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2966295008","doi":"https://doi.org/10.24963/ijcai.2019/807","mag":"2966295008"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/807","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/807","pdf_url":"https://www.ijcai.org/proceedings/2019/0807.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0807.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069869295","display_name":"Dawei Cheng","orcid":"https://orcid.org/0000-0002-5877-7387"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Cheng","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020438767","display_name":"Yi Tu","orcid":"https://orcid.org/0000-0002-2051-8806"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Tu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110632542","display_name":"Zhenwei Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwei Ma","raw_affiliation_strings":["School of Mathematical Science, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042897510","display_name":"Zhibin Niu","orcid":"https://orcid.org/0000-0002-5171-7648"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Niu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741568","display_name":"Liqing Zhang","orcid":"https://orcid.org/0000-0001-7597-8503"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqing Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5149,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.92498488,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5822","last_page":"5828"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9847999811172485,"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":0.9847999811172485,"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":0.9696000218391418,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9649999737739563,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7458781003952026},{"id":"https://openalex.org/keywords/loan","display_name":"Loan","score":0.7075201272964478},{"id":"https://openalex.org/keywords/financial-networks","display_name":"Financial networks","score":0.5773156881332397},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5105158090591431},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5032426714897156},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47268491983413696},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.4591159224510193},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4191923439502716},{"id":"https://openalex.org/keywords/systemic-risk","display_name":"Systemic risk","score":0.384418249130249},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.295738160610199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2568809688091278},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.2399786114692688},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.14208078384399414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7458781003952026},{"id":"https://openalex.org/C2777764128","wikidata":"https://www.wikidata.org/wiki/Q189539","display_name":"Loan","level":2,"score":0.7075201272964478},{"id":"https://openalex.org/C2776760741","wikidata":"https://www.wikidata.org/wiki/Q25325235","display_name":"Financial networks","level":4,"score":0.5773156881332397},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5105158090591431},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5032426714897156},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47268491983413696},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.4591159224510193},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4191923439502716},{"id":"https://openalex.org/C144587487","wikidata":"https://www.wikidata.org/wiki/Q1369234","display_name":"Systemic risk","level":3,"score":0.384418249130249},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.295738160610199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2568809688091278},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.2399786114692688},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.14208078384399414},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2778300220","wikidata":"https://www.wikidata.org/wiki/Q114380","display_name":"Financial crisis","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/807","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/807","pdf_url":"https://www.ijcai.org/proceedings/2019/0807.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/807","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/807","pdf_url":"https://www.ijcai.org/proceedings/2019/0807.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G2713165797","display_name":null,"funder_award_id":"16JC1402800","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G3184836188","display_name":null,"funder_award_id":"15JC1400103","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G4666820599","display_name":null,"funder_award_id":"2015CB856004","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966295008.pdf","grobid_xml":"https://content.openalex.org/works/W2966295008.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W306109848","https://openalex.org/W359283280","https://openalex.org/W1888005072","https://openalex.org/W1929275767","https://openalex.org/W2036349451","https://openalex.org/W2052261215","https://openalex.org/W2055070149","https://openalex.org/W2088183067","https://openalex.org/W2098509290","https://openalex.org/W2099858350","https://openalex.org/W2142535891","https://openalex.org/W2154851992","https://openalex.org/W2604942799","https://openalex.org/W2605906643","https://openalex.org/W2622489478","https://openalex.org/W2902018400","https://openalex.org/W2946129249","https://openalex.org/W2950723285","https://openalex.org/W2962756421","https://openalex.org/W2964002344","https://openalex.org/W3101985387","https://openalex.org/W3104097132","https://openalex.org/W3125746758","https://openalex.org/W4297571622","https://openalex.org/W4297733535"],"related_works":["https://openalex.org/W2599297339","https://openalex.org/W2160164079","https://openalex.org/W2991205285","https://openalex.org/W3013479509","https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2582357226","https://openalex.org/W3201520104","https://openalex.org/W2912814903","https://openalex.org/W3142757135"],"abstract_inverted_index":{"Assessing":[0],"and":[1,15,102,135,176],"predicting":[2],"the":[3,12,23,33,38,43,52,73,97,125,138,143,156,167,177,180],"default":[4,44],"risk":[5,45,57,173],"of":[6,37,47,54,75,100,127,145,158,182],"networked-guarantee":[7],"loans":[8],"is":[9,40,82,140],"critical":[10],"for":[11,42,51],"commercial":[13],"banks":[14],"financial":[16,56,80,109],"regulatory":[17],"authorities.":[18],"The":[19],"guarantee":[20,76],"relationships":[21],"between":[22],"loan":[24,48,172],"companies":[25],"are":[26],"usually":[27],"modeled":[28],"as":[29,89],"directed":[30],"networks.":[31,77],"Learning":[32],"informative":[34],"low-dimensional":[35],"representation":[36,68],"networks":[39],"important":[41],"prediction":[46],"companies,":[49],"even":[50],"assessment":[53],"systematic":[55],"level.":[58],"In":[59],"this":[60,79],"paper,":[61],"we":[62,95],"propose":[63],"a":[64,119,131,170],"high-order":[65,104],"graph":[66,120],"attention":[67,121],"method":[69],"(HGAR)":[70],"to":[71,118,123,150],"learn":[72],"embedding":[74],"Because":[78],"network":[81],"different":[83],"from":[84],"other":[85],"complex":[86],"networks,":[87,94],"such":[88],"social,":[90],"language,":[91],"or":[92],"citation":[93],"set":[96],"binary":[98],"roles":[99],"vertices":[101],"define":[103],"adjacent":[105],"measures":[106],"based":[107],"on":[108],"domain":[110],"characteristics.":[111],"We":[112,129,164],"design":[113],"objective":[114],"functions":[115],"in":[116,169],"addition":[117],"layer":[122],"capture":[124],"importance":[126],"nodes.":[128],"implement":[130],"productive":[132],"learning":[133],"strategy":[134],"prove":[136],"that":[137],"complexity":[139],"near-linear":[141],"with":[142],"number":[144],"edges,":[146],"which":[147],"could":[148],"scale":[149],"large":[151],"datasets.":[152],"Extensive":[153],"experiments":[154],"demonstrate":[155],"superiority":[157],"our":[159,183],"model":[160,168],"over":[161],"state-of-the-art":[162],"method.":[163],"also":[165],"evaluate":[166],"real-world":[171],"control":[174],"system,":[175],"results":[178],"validate":[179],"effectiveness":[181],"proposed":[184],"approaches.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
