{"id":"https://openalex.org/W2984834462","doi":"https://doi.org/10.1145/3357384.3358061","title":"HeteSpaceyWalk","display_name":"HeteSpaceyWalk","publication_year":2019,"publication_date":"2019-11-03","ids":{"openalex":"https://openalex.org/W2984834462","doi":"https://doi.org/10.1145/3357384.3358061","mag":"2984834462"},"language":"en","primary_location":{"id":"doi:10.1145/3357384.3358061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357384.3358061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","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/A5064724240","display_name":"Yu He","orcid":"https://orcid.org/0000-0002-3946-0640"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu He","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing & Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing & Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020880385","display_name":"Yangqiu Song","orcid":"https://orcid.org/0000-0002-7818-6090"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yangqiu Song","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hone Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hone Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380463","display_name":"Jianxin Li","orcid":"https://orcid.org/0000-0001-5152-0055"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Li","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing & Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing & Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085952082","display_name":"Cheng Ji","orcid":"https://orcid.org/0000-0003-2513-3822"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Ji","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing & Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing & Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047373240","display_name":"Jian Peng","orcid":"https://orcid.org/0000-0002-1820-4015"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Peng","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740618","display_name":"Hao Peng","orcid":"https://orcid.org/0000-0001-7422-630X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Peng","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing & Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing & Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064724240"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":11.5503,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.98744621,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"639","last_page":"648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9993000030517578,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9993000030517578,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/random-walk","display_name":"Random walk","score":0.884842038154602},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6883231401443481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6852083206176758},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6392622590065002},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6204421520233154},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5668696165084839},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5465377569198608},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.46275565028190613},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.45875999331474304},{"id":"https://openalex.org/keywords/stationary-distribution","display_name":"Stationary distribution","score":0.44203710556030273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2789752185344696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22811990976333618},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21930095553398132},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11218568682670593}],"concepts":[{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.884842038154602},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6883231401443481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852083206176758},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6392622590065002},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6204421520233154},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5668696165084839},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5465377569198608},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.46275565028190613},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.45875999331474304},{"id":"https://openalex.org/C98951983","wikidata":"https://www.wikidata.org/wiki/Q7604341","display_name":"Stationary distribution","level":3,"score":0.44203710556030273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2789752185344696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22811990976333618},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21930095553398132},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11218568682670593},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3357384.3358061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357384.3358061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-101297","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-101297","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-101297","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000539898200068","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1529533208","https://openalex.org/W1888005072","https://openalex.org/W1967863517","https://openalex.org/W1972350206","https://openalex.org/W1975563293","https://openalex.org/W2010187764","https://openalex.org/W2015917093","https://openalex.org/W2029249040","https://openalex.org/W2029814127","https://openalex.org/W2047729491","https://openalex.org/W2062797058","https://openalex.org/W2098711168","https://openalex.org/W2099752825","https://openalex.org/W2102515753","https://openalex.org/W2105767494","https://openalex.org/W2117420919","https://openalex.org/W2127795553","https://openalex.org/W2145658888","https://openalex.org/W2154851992","https://openalex.org/W2258969095","https://openalex.org/W2312974704","https://openalex.org/W2354939339","https://openalex.org/W2441800701","https://openalex.org/W2528907418","https://openalex.org/W2550483918","https://openalex.org/W2579963793","https://openalex.org/W2743104969","https://openalex.org/W2743159750","https://openalex.org/W2767774008","https://openalex.org/W2809435521","https://openalex.org/W2884134047","https://openalex.org/W2950133940","https://openalex.org/W2950577311","https://openalex.org/W2951651516","https://openalex.org/W2962756421","https://openalex.org/W2963224980","https://openalex.org/W2963707260","https://openalex.org/W2963919031","https://openalex.org/W3102056589","https://openalex.org/W3102205844","https://openalex.org/W3103995645","https://openalex.org/W3104097132","https://openalex.org/W3104717349","https://openalex.org/W3105705953"],"related_works":["https://openalex.org/W1597743604","https://openalex.org/W2038723108","https://openalex.org/W2081900870","https://openalex.org/W2033630974","https://openalex.org/W2325737604","https://openalex.org/W4245069437","https://openalex.org/W2042537860","https://openalex.org/W4297449606","https://openalex.org/W2950637388","https://openalex.org/W2059673439"],"abstract_inverted_index":{"Heterogeneous":[0],"information":[1],"network":[2,129],"(HIN)":[3],"embedding":[4,18,130],"has":[5],"gained":[6],"increasing":[7],"interests":[8],"recently.":[9],"However,":[10],"the":[11,25,37,46,69,84,126],"current":[12],"way":[13],"of":[14,30,96],"random-walk":[15],"based":[16],"HIN":[17,100],"methods":[19,123],"have":[20],"paid":[21],"few":[22],"attention":[23],"to":[24,36,64,82,90],"higher-order":[26,53],"Markov":[27,54],"chain":[28,55],"nature":[29],"meta-path":[31,47],"guided":[32,48,101],"random":[33,49,62,88],"walks,":[34],"especially":[35],"stationarity":[38],"issue.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,76],"systematically":[44],"formalize":[45],"walk":[50,63,89],"as":[51],"a":[52,58,78,103,105,108],"process,and":[56],"present":[57],"heterogeneous":[59,85,117],"personalized":[60,86],"spacey":[61,87],"efficiently":[65],"and":[66,107,119],"effectively":[67],"attain":[68],"expected":[70],"stationary":[71],"distribution":[72],"among":[73],"nodes.":[74],"Then":[75],"propose":[77],"generalized":[79],"scalable":[80],"framework":[81],"leverage":[83],"learn":[91],"embeddings":[92],"for":[93],"multiple":[94],"types":[95],"nodes":[97],"in":[98,115],"an":[99],"by":[102],"meta-path,":[104],"meta-graph,":[106],"meta-schema":[109],"respectively.":[110],"We":[111],"conduct":[112],"extensive":[113],"experiments":[114],"several":[116],"networks":[118],"demonstrate":[120],"that":[121],"our":[122],"substantially":[124],"outperform":[125],"existing":[127],"state-of-the-art":[128],"algorithms.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":39},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2019-11-22T00:00:00"}