{"id":"https://openalex.org/W4400317755","doi":"https://doi.org/10.1145/3676559","title":"Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks","display_name":"Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks","publication_year":2024,"publication_date":"2024-07-04","ids":{"openalex":"https://openalex.org/W4400317755","doi":"https://doi.org/10.1145/3676559"},"language":"en","primary_location":{"id":"doi:10.1145/3676559","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3676559","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5101827392","display_name":"Xiangyu Wei","orcid":"https://orcid.org/0000-0001-9543-7026"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Wei","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9543-7026","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777576","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-5974-1589"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, Xi\u2019an, China and Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5974-1589","affiliations":[{"raw_affiliation_string":"Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, Xi\u2019an, China and Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070","https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091464412","display_name":"Chongsheng Zhang","orcid":"https://orcid.org/0000-0003-1632-7238"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongsheng Zhang","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University, Henan, China"],"raw_orcid":"https://orcid.org/0000-0003-1632-7238","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University, Henan, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Jiangsu, Chin"],"raw_orcid":"https://orcid.org/0000-0002-3180-7347","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Jiangsu, Chin","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108156794","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-3790-2708"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Zhejiang Key Laboratory of Multi-Dimensional Perception Technology, Application and Cybersecurity, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-3790-2708","affiliations":[{"raw_affiliation_string":"Zhejiang Key Laboratory of Multi-Dimensional Perception Technology, Application and Cybersecurity, Zhejiang, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057867117","display_name":"Yaguan Qian","orcid":"https://orcid.org/0000-0003-4056-9755"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaguan Qian","raw_affiliation_strings":["School of Science, Zhejiang University of Science and Technology, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-4056-9755","affiliations":[{"raw_affiliation_string":"School of Science, Zhejiang University of Science and Technology, Zhejiang, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059369429","display_name":"Zhen Han","orcid":"https://orcid.org/0000-0002-3688-873X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Han","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3688-873X","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045817362","display_name":"Chunhua Su","orcid":"https://orcid.org/0000-0002-6461-9684"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chunhua Su","raw_affiliation_strings":["Department of Computer Science and Engineering, Division of Computer Science, University of Aizu, Aizuwakamatsu, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6461-9684","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Division of Computer Science, University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9777,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72448334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"8","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9595000147819519,"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/computer-science","display_name":"Computer science","score":0.8003246784210205},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6030893325805664},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.5793843269348145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5202257037162781},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.49280813336372375},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4819750189781189},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4740060269832611},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4725838899612427},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.44898372888565063},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39667102694511414},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38124027848243713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003246784210205},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6030893325805664},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.5793843269348145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5202257037162781},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.49280813336372375},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4819750189781189},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4740060269832611},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4725838899612427},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.44898372888565063},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39667102694511414},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38124027848243713},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3676559","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3676559","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1858642095","display_name":null,"funder_award_id":"U23A20304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2105962504","display_name":"Physical Layer-based Cryptographic Key Management and Data Reliability Assurance for Smart IoT Environments","funder_award_id":"23K11103","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1979104937","https://openalex.org/W2008620264","https://openalex.org/W2036120890","https://openalex.org/W2107569009","https://openalex.org/W2117831564","https://openalex.org/W2127201730","https://openalex.org/W2387462954","https://openalex.org/W2610034660","https://openalex.org/W2624431344","https://openalex.org/W2793463946","https://openalex.org/W2798918712","https://openalex.org/W2903329593","https://openalex.org/W2922924332","https://openalex.org/W2945266622","https://openalex.org/W2953485314","https://openalex.org/W2954691982","https://openalex.org/W2962756421","https://openalex.org/W2965815269","https://openalex.org/W2965857891","https://openalex.org/W2985036455","https://openalex.org/W2998116985","https://openalex.org/W3004621088","https://openalex.org/W3021353750","https://openalex.org/W3026640598","https://openalex.org/W3092475443","https://openalex.org/W3101358844","https://openalex.org/W3122931143","https://openalex.org/W3133350918","https://openalex.org/W3154735894","https://openalex.org/W3155305352","https://openalex.org/W4205873986","https://openalex.org/W4226054531","https://openalex.org/W4232932184","https://openalex.org/W4285593753","https://openalex.org/W4285722178","https://openalex.org/W4294558607","https://openalex.org/W4361214937","https://openalex.org/W4385567578","https://openalex.org/W4387309424","https://openalex.org/W4388766831","https://openalex.org/W4391452133"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2088247287","https://openalex.org/W2963903416"],"abstract_inverted_index":{"Dynamic":[0],"link":[1,21,53,94,206],"prediction":[2,36,54,207],"aims":[3],"to":[4,119,217],"predict":[5],"future":[6],"connections":[7],"among":[8],"unconnected":[9],"nodes":[10,136],"in":[11,34,116,191,220],"a":[12,84],"network.":[13,146],"It":[14],"can":[15],"be":[16],"applied":[17],"for":[18,52,93],"friend":[19],"recommendations,":[20],"completion,":[22],"and":[23,49,61,113,124,132,157,172,199],"other":[24],"tasks.":[25,37],"Network":[26],"representation":[27,41,68],"learning":[28,42,69],"algorithms":[29,43],"have":[30],"demonstrated":[31],"considerable":[32],"effectiveness":[33],"various":[35,200],"However,":[38],"most":[39],"network":[40,67,89,188],"are":[44],"based":[45],"on":[46,203],"homogeneous":[47],"networks":[48,51,118],"static":[50],"that":[55,212],"do":[56],"not":[57],"consider":[58],"rich":[59,170],"semantic":[60,173],"dynamic":[62,66,86,145,192,205],"information.":[63],"Additionally,":[64],"existing":[65],"methods":[70,202,219],"neglect":[71],"the":[72,77,99,103,108,121,130,140,144,152,158,169,183,187,204],"neighborhood":[73,133],"interaction":[74,115],"structure":[75,134,154,165,174],"of":[76,98,102,110,135,143,151,175,186,222],"node.":[78],"In":[79,96],"this":[80],"work,":[81],"we":[82,106],"design":[83],"neighbor-enhanced":[85],"heterogeneous":[87,117,193],"attributed":[88],"embedding":[90],"method":[91,198,214],"(NeiDyHNE)":[92],"prediction.":[95],"light":[97],"impressive":[100],"achievements":[101],"heuristic":[104],"methods,":[105],"learn":[107],"information":[109],"common":[111,125],"neighbors":[112,122,126],"neighbors\u2019":[114],"preserve":[120],"proximity":[123],"proximity.":[127],"NeiDyHNE":[128,149],"encodes":[129],"attributes":[131],"as":[137,139],"well":[138],"evolutionary":[141,184],"features":[142,171,185],"More":[147],"specifically,":[148],"consists":[150],"hierarchical":[153,164],"attention":[155,161,166,180],"module":[156,167,181],"convolutional":[159,178],"temporal":[160,179],"module.":[162],"The":[163,177],"captures":[168,182],"nodes.":[176],"over":[189],"time":[190],"networks.":[194],"We":[195],"evaluate":[196],"our":[197,213],"baseline":[201,218],"task.":[208],"Experimental":[209],"results":[210],"demonstrate":[211],"is":[215],"superior":[216],"terms":[221],"accuracy.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}
