{"id":"https://openalex.org/W3167367835","doi":"https://doi.org/10.1145/3447548.3467388","title":"Attentive Heterogeneous Graph Embedding for Job Mobility Prediction","display_name":"Attentive Heterogeneous Graph Embedding for Job Mobility Prediction","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3167367835","doi":"https://doi.org/10.1145/3447548.3467388","mag":"3167367835"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467388","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","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/A5100350641","display_name":"Le Zhang","orcid":"https://orcid.org/0000-0003-0894-9651"},"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":"Le Zhang","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058994392","display_name":"Ding Zhou","orcid":"https://orcid.org/0000-0002-8142-1426"},"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":"Ding Zhou","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049015446","display_name":"Hengshu Zhu","orcid":"https://orcid.org/0000-0003-4570-643X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":["Baidu Talent Intelligence Center, Baidu Inc, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Talent Intelligence Center, Baidu Inc, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025292786","display_name":"Tong Xu","orcid":"https://orcid.org/0000-0003-4246-5386"},"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":"Tong Xu","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103093616","display_name":"Rui Zha","orcid":"https://orcid.org/0000-0002-6557-123X"},"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":"Rui Zha","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"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":"Enhong Chen","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]},{"id":"https://openalex.org/I4391767959","display_name":"State of New Jersey","ror":"https://ror.org/03h381n69","country_code":null,"type":"government","lineage":["https://openalex.org/I4391767959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Rutgers University, State of New Jersey, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, State of New Jersey, NJ, USA","institution_ids":["https://openalex.org/I102322142","https://openalex.org/I4391767959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6851,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.94005919,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2192","last_page":"2201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9778000116348267,"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":0.9778000116348267,"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/T13812","display_name":"AI and HR Technologies","score":0.9617000222206116,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.939300000667572,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.6921205520629883},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6154447793960571},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6056621670722961},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.5652094483375549},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5381165146827698},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.44799864292144775},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43227869272232056},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.43083637952804565},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3926604390144348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37335604429244995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33572548627853394},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2632644772529602},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1359735131263733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6921205520629883},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6154447793960571},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6056621670722961},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.5652094483375549},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5381165146827698},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.44799864292144775},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43227869272232056},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.43083637952804565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3926604390144348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37335604429244995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33572548627853394},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2632644772529602},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1359735131263733},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3467388","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G4554244557","display_name":null,"funder_award_id":"Grant No.2018YFB1402600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7494361989","display_name":null,"funder_award_id":"Grant No.61836013, 91746301, 62072423","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W48288425","https://openalex.org/W1846400600","https://openalex.org/W2005708641","https://openalex.org/W2030986454","https://openalex.org/W2048587746","https://openalex.org/W2062797058","https://openalex.org/W2064675550","https://openalex.org/W2069143585","https://openalex.org/W2069273715","https://openalex.org/W2082404215","https://openalex.org/W2128084896","https://openalex.org/W2140036815","https://openalex.org/W2143612262","https://openalex.org/W2147880316","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2246827810","https://openalex.org/W2387462954","https://openalex.org/W2508432084","https://openalex.org/W2582993595","https://openalex.org/W2605072144","https://openalex.org/W2613228905","https://openalex.org/W2624431344","https://openalex.org/W2743064457","https://openalex.org/W2743104969","https://openalex.org/W2783222622","https://openalex.org/W2911286998","https://openalex.org/W2911964244","https://openalex.org/W2912404939","https://openalex.org/W2949547296","https://openalex.org/W2952718163","https://openalex.org/W2962756421","https://openalex.org/W2963868026","https://openalex.org/W2964199361","https://openalex.org/W2964308564","https://openalex.org/W2964352502","https://openalex.org/W2970398671","https://openalex.org/W2987222756","https://openalex.org/W3012912574","https://openalex.org/W3015302520","https://openalex.org/W3104097132","https://openalex.org/W3177146402","https://openalex.org/W4233847861"],"related_works":["https://openalex.org/W2601821547","https://openalex.org/W3169061440","https://openalex.org/W3036264823","https://openalex.org/W2912814903","https://openalex.org/W3206528106","https://openalex.org/W2950907416","https://openalex.org/W3038102983","https://openalex.org/W2082479932","https://openalex.org/W2123605750","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Job":[0],"mobility":[1,74,252],"prediction":[2,75,99],"is":[3,135,175,194],"an":[4,69,92,115],"emerging":[5],"research":[6],"topic":[7],"that":[8,201],"can":[9,206],"benefit":[10],"both":[11],"organizations":[12],"and":[13,24,54,122,144,164,217],"talents":[14],"in":[15,64,150,203,248],"various":[16],"ways,":[17],"such":[18],"as":[19],"job":[20,46,55,73,251],"recommendation,":[21],"talent":[22,50],"recruitment,":[23],"career":[25,37,86,106,127],"planning.":[26],"Nevertheless,":[27],"most":[28],"existing":[29],"studies":[30],"only":[31],"focus":[32],"on":[33,77,146,224],"modeling":[34],"the":[35,42,84,104,132,139,147,160,180,183,191,198,211,238,245],"individual-level":[36],"trajectories":[38],"of":[39,44,108,154,182,240,250],"talents,":[40,109],"while":[41],"impact":[43],"macro-level":[45],"transition":[47],"relationships":[48],"(e.g.,":[49],"flow":[51],"among":[52],"companies":[53,216],"positions)":[56],"has":[57],"been":[58],"largely":[59],"neglected.":[60],"To":[61],"this":[62,65],"end,":[63],"paper":[66],"we":[67,90,220],"propose":[68],"enhanced":[70],"approach":[71,242],"to":[72,102,137,158,177,196,209],"based":[76],"a":[78,123,168,171,225],"heterogeneous":[79,94,117,148],"company-position":[80],"network":[81],"constructed":[82],"from":[83,162],"massive":[85],"trajectory":[87],"data.":[88],"Specifically,":[89],"design":[91],"Attentive":[93],"graph":[95,118],"embedding":[96,119],"for":[97,126,142,167,186,228],"sequential":[98,212],"(Ahead)":[100],"framework":[101],"predict":[103],"next":[105],"move":[107],"which":[110,151,205],"contains":[111],"two":[112,152,184],"components,":[113],"namely":[114],"attentive":[116],"(AHGN)":[120],"model":[121,125,134,193,197],"Dual-GRU":[124,192],"path":[128],"mining.":[129],"In":[130],"particular,":[131],"AHGN":[133],"used":[136,208],"learn":[138],"comprehensive":[140],"representation":[141],"company":[143],"position":[145],"network,":[149],"kinds":[153],"aggregators":[155,185],"are":[156],"employed":[157],"aggregate":[159],"information":[161,181,214],"external":[163],"internal":[165],"neighbors":[166],"node.":[169],"Afterwards,":[170],"novel":[172],"type-attention":[173],"mechanism":[174],"designed":[176],"automatically":[178],"fuse":[179],"updating":[187],"node":[188],"representations.":[189],"Moreover,":[190],"devised":[195],"parallel":[199],"sequences":[200],"appear":[202],"pair,":[204],"be":[207],"capture":[210],"interactive":[213],"between":[215],"positions.":[218],"Finally,":[219],"conduct":[221],"extensive":[222],"experiments":[223],"real-world":[226],"dataset":[227],"evaluating":[229],"our":[230,241],"Ahead":[231],"framework.":[232],"The":[233],"experimental":[234],"results":[235],"clearly":[236],"validate":[237],"effectiveness":[239],"compared":[243],"with":[244],"state-of-the-art":[246],"baselines":[247],"terms":[249],"prediction.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}