{"id":"https://openalex.org/W3161596960","doi":"https://doi.org/10.1109/icassp39728.2021.9414919","title":"Fast Hierarchy Preserving Graph Embedding via Subspace Constraints","display_name":"Fast Hierarchy Preserving Graph Embedding via Subspace Constraints","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161596960","doi":"https://doi.org/10.1109/icassp39728.2021.9414919","mag":"3161596960"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100614584","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0002-9427-0161"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Chen","raw_affiliation_strings":["Peking University, China"],"affiliations":[{"raw_affiliation_string":"Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008387608","display_name":"Lun Du","orcid":"https://orcid.org/0000-0002-7625-0650"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lun Du","raw_affiliation_strings":["Microsoft Research Asia, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100737264","display_name":"Mengyuan Chen","orcid":"https://orcid.org/0009-0001-8155-0930"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyuan Chen","raw_affiliation_strings":["Beijing Normal University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377613","display_name":"Yun Wang","orcid":"https://orcid.org/0000-0002-1632-7273"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Wang","raw_affiliation_strings":["Peking University, China"],"affiliations":[{"raw_affiliation_string":"Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027022795","display_name":"Qingqing Long","orcid":"https://orcid.org/0009-0003-7105-361X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqing Long","raw_affiliation_strings":["Peking University, China"],"affiliations":[{"raw_affiliation_string":"Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100825074","display_name":"Kunqing Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunqing Xie","raw_affiliation_strings":["Peking University, China"],"affiliations":[{"raw_affiliation_string":"Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100614584"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71739791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3580","last_page":"3584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.8676167726516724},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.733312726020813},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7255743741989136},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.6280224919319153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.614669144153595},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.564437747001648},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5604830980300903},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5318804383277893},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4944140911102295},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4845542013645172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2999876141548157},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07722118496894836}],"concepts":[{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.8676167726516724},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.733312726020813},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7255743741989136},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.6280224919319153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.614669144153595},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.564437747001648},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5604830980300903},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5318804383277893},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4944140911102295},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4845542013645172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2999876141548157},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07722118496894836},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":27,"referenced_works":["https://openalex.org/W2076051615","https://openalex.org/W2150256170","https://openalex.org/W2154851992","https://openalex.org/W2604942799","https://openalex.org/W2783087242","https://openalex.org/W2787612455","https://openalex.org/W2801800683","https://openalex.org/W2808087697","https://openalex.org/W2912719334","https://openalex.org/W2915070188","https://openalex.org/W2939242433","https://openalex.org/W2952383826","https://openalex.org/W2962767366","https://openalex.org/W2965115497","https://openalex.org/W2965265899","https://openalex.org/W2982880755","https://openalex.org/W3011277468","https://openalex.org/W3015266252","https://openalex.org/W3035237680","https://openalex.org/W3104097132","https://openalex.org/W3126693873","https://openalex.org/W4294558607","https://openalex.org/W6736262870","https://openalex.org/W6738964360","https://openalex.org/W6748359373","https://openalex.org/W6759112788","https://openalex.org/W6786735456"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2081900870","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2365264209","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W962203960","https://openalex.org/W2071516466"],"abstract_inverted_index":{"Hierarchy":[0],"preserving":[1,14,44,62],"network":[2,23,63],"embedding":[3,64],"is":[4,67,110],"a":[5],"method":[6],"that":[7,104],"project":[8],"nodes":[9,94],"into":[10,31],"feature":[11],"space":[12],"by":[13,43,112],"the":[15,47,53,98,105,116,119],"hierarchy":[16,30,45,54,61],"property":[17],"of":[18,49,100,108,118],"networks.":[19],"Recently,":[20],"researches":[21],"on":[22,52],"representation":[24],"have":[25],"considerably":[26],"profited":[27],"from":[28],"taking":[29],"consideration.":[32],"Among":[33],"these":[34],"works,":[35],"SpaceNE":[36,66],"<sup":[37],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[38],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[39],"[1]":[40],"stands":[41],"out":[42],"with":[46,122],"help":[48],"subspace":[50,55],"constraints":[51],"system.":[56],"However,":[57],"like":[58],"all":[59],"other":[60],"methods,":[65],"time-consuming":[68],"and":[69,90],"cannot":[70],"generalize":[71,91],"to":[72,84,92],"new":[73,93],"nodes.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"propose":[79],"an":[80],"inductive":[81],"method,":[82],"FastHGE,":[83],"learn":[85],"node":[86,101],"representations":[87],"more":[88,95],"efficiently":[89],"easily.":[96],"Empirically,":[97],"experiment":[99],"classification":[102],"demonstrates":[103],"convergence":[106],"speed":[107],"FastHGE":[109],"increased":[111],"30":[113],"times":[114],"in":[115],"case":[117],"same":[120],"accuracy":[121],"SpaceNE.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}