{"id":"https://openalex.org/W2966050677","doi":"https://doi.org/10.24963/ijcai.2019/333","title":"SPINE: Structural Identity Preserved Inductive Network Embedding","display_name":"SPINE: Structural Identity Preserved Inductive Network Embedding","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2966050677","doi":"https://doi.org/10.24963/ijcai.2019/333","mag":"2966050677"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/333","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/333","pdf_url":"https://www.ijcai.org/proceedings/2019/0333.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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0333.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055122985","display_name":"Junliang Guo","orcid":"https://orcid.org/0000-0001-8360-5483"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junliang Guo","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009732907","display_name":"Linli Xu","orcid":"https://orcid.org/0000-0003-0227-3793"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linli Xu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054743312","display_name":"Jingchang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchang Liu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009732907"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.8786,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89477758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2399","last_page":"2405"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"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":0.9878000020980835,"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/encode","display_name":"ENCODE","score":0.7575057744979858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.719340443611145},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7032157778739929},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5854955911636353},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5736728310585022},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5521541833877563},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4925452172756195},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.47879061102867126},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4486640691757202},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3912871479988098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15809282660484314},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08906683325767517}],"concepts":[{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.7575057744979858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.719340443611145},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7032157778739929},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5854955911636353},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5736728310585022},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5521541833877563},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4925452172756195},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47879061102867126},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4486640691757202},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3912871479988098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15809282660484314},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08906683325767517},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/333","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/333","pdf_url":"https://www.ijcai.org/proceedings/2019/0333.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.2019/333","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/333","pdf_url":"https://www.ijcai.org/proceedings/2019/0333.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":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5375682351","display_name":null,"funder_award_id":"91746301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6013138505","display_name":null,"funder_award_id":"21501100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6606293491","display_name":null,"funder_award_id":"61673364","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8982980116","display_name":null,"funder_award_id":"WK2150110008","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966050677.pdf","grobid_xml":"https://content.openalex.org/works/W2966050677.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W122652761","https://openalex.org/W1614298861","https://openalex.org/W1888005072","https://openalex.org/W2023723604","https://openalex.org/W2036120890","https://openalex.org/W2144994235","https://openalex.org/W2154851992","https://openalex.org/W2163485494","https://openalex.org/W2170513563","https://openalex.org/W2242161203","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2420733993","https://openalex.org/W2755088640","https://openalex.org/W2792225091","https://openalex.org/W2808000122","https://openalex.org/W2808867307","https://openalex.org/W2809156873","https://openalex.org/W2963224980","https://openalex.org/W2963312446","https://openalex.org/W2964015378","https://openalex.org/W2983396602","https://openalex.org/W3101444938","https://openalex.org/W4233775226","https://openalex.org/W4294170691","https://openalex.org/W4294558607","https://openalex.org/W4297733535"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2378211422","https://openalex.org/W2988126442","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W1974414866","https://openalex.org/W1588041347"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,19],"the":[3,28,36,50,96,122,125,129,132],"field":[4],"of":[5,31,48,124,131],"network":[6,12,20,24],"embedding":[7,25],"have":[8],"shown":[9],"that":[10,92],"low-dimensional":[11],"representation":[13],"is":[14],"playing":[15],"a":[16,32,90],"critical":[17],"role":[18],"analysis.":[21],"Most":[22],"existing":[23,63],"methods":[26,45,64],"encode":[27],"local":[29,97],"proximity":[30,98],"node,":[33],"such":[34],"as":[35],"first-":[37],"and":[38,72,99],"second-order":[39],"proximities.":[40],"While":[41],"being":[42,105],"efficient,":[43],"these":[44],"are":[46],"short":[47],"leveraging":[49],"global":[51],"structural":[52],"information":[53],"between":[54],"nodes":[55,79,112],"distant":[56],"from":[57],"each":[58],"other.":[59],"In":[60,84],"addition,":[61],"most":[62],"learn":[65],"embeddings":[66],"on":[67,118],"one":[68],"single":[69],"fixed":[70],"network,":[71],"thus":[73],"cannot":[74],"be":[75],"generalized":[76],"to":[77,107],"unseen":[78,111],"or":[80,113],"networks":[81],"without":[82],"retraining.":[83],"this":[85],"paper":[86],"we":[87],"present":[88],"SPINE,":[89],"method":[91],"can":[93],"jointly":[94],"capture":[95],"proximities":[100],"at":[101],"any":[102],"distance,":[103],"while":[104],"inductive":[106],"efficiently":[108],"deal":[109],"with":[110],"networks.":[114],"Extensive":[115],"experimental":[116],"results":[117],"benchmark":[119],"datasets":[120],"demonstrate":[121],"superiority":[123],"proposed":[126],"framework":[127],"over":[128],"state":[130],"art.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
