{"id":"https://openalex.org/W2988120263","doi":"https://doi.org/10.1145/3357384.3357990","title":"Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention","display_name":"Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention","publication_year":2019,"publication_date":"2019-11-03","ids":{"openalex":"https://openalex.org/W2988120263","doi":"https://doi.org/10.1145/3357384.3357990","mag":"2988120263"},"language":"en","primary_location":{"id":"doi:10.1145/3357384.3357990","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3357384.3357990","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3357384.3357990","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3357384.3357990","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064060066","display_name":"Yizhu Jiao","orcid":"https://orcid.org/0000-0003-0509-8652"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhu Jiao","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001877137","display_name":"Yun Xiong","orcid":"https://orcid.org/0000-0002-8575-5415"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Xiong","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462845","display_name":"Jiawei Zhang","orcid":"https://orcid.org/0000-0002-8634-1687"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Zhang","raw_affiliation_strings":["Florida State University, Tallahassee, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020370754","display_name":"Yangyong Zhu","orcid":"https://orcid.org/0000-0002-6258-0747"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyong Zhu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.185,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.91496561,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"419","last_page":"428"},"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":0.9980999827384949,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7504761219024658},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.59886234998703},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5736410617828369},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.5726228952407837},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5075668096542358},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.49025633931159973},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.48525190353393555},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.45585474371910095},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4307582974433899},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4230846166610718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37575098872184753},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37055277824401855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36969101428985596},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.32957038283348083},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.29191356897354126},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17900070548057556},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1505616307258606},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08266675472259521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7504761219024658},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.59886234998703},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5736410617828369},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.5726228952407837},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5075668096542358},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.49025633931159973},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.48525190353393555},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.45585474371910095},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4307582974433899},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4230846166610718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37575098872184753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37055277824401855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36969101428985596},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.32957038283348083},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.29191356897354126},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17900070548057556},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1505616307258606},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08266675472259521},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3357384.3357990","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3357384.3357990","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3357384.3357990","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"}],"best_oa_location":{"id":"doi:10.1145/3357384.3357990","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3357384.3357990","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3357384.3357990","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"},"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1626507679","display_name":null,"funder_award_id":"16JC1400801","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2048785514","display_name":null,"funder_award_id":"No. 16JC1400801","funder_id":"https://openalex.org/F4320313610","funder_display_name":"Shanghai Science and Technology Development Foundation"},{"id":"https://openalex.org/G3800173056","display_name":"III: Medium: Collaborative Research: An Extensible Heterogeneous Network Embedding Framework with Application Specific Adaptation","funder_award_id":"1763365","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4689730933","display_name":null,"funder_award_id":"IIS-1763365","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G645345321","display_name":null,"funder_award_id":"U1636207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6965583624","display_name":null,"funder_award_id":"No.91546105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7671192633","display_name":null,"funder_award_id":"16JC1400801","funder_id":"https://openalex.org/F4320313610","funder_display_name":"Shanghai Science and Technology Development Foundation"},{"id":"https://openalex.org/G8088076537","display_name":null,"funder_award_id":"91546105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8617523245","display_name":null,"funder_award_id":"No. U1636207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320313610","display_name":"Shanghai Science and Technology Development Foundation","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2988120263.pdf","grobid_xml":"https://content.openalex.org/works/W2988120263.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2022580894","https://openalex.org/W2047532797","https://openalex.org/W2054476043","https://openalex.org/W2095705004","https://openalex.org/W2116341502","https://openalex.org/W2117764127","https://openalex.org/W2153579005","https://openalex.org/W2154851992","https://openalex.org/W2168936785","https://openalex.org/W2176412452","https://openalex.org/W2247394048","https://openalex.org/W2537308293","https://openalex.org/W2552839021","https://openalex.org/W2557074642","https://openalex.org/W2571692900","https://openalex.org/W2766453196","https://openalex.org/W2767597557","https://openalex.org/W2777398797","https://openalex.org/W2787906122","https://openalex.org/W2792839479","https://openalex.org/W2800544704","https://openalex.org/W2800952572","https://openalex.org/W2803312888","https://openalex.org/W2950035106","https://openalex.org/W2950178297","https://openalex.org/W2950577311","https://openalex.org/W2962756421","https://openalex.org/W2963184995","https://openalex.org/W2963403868","https://openalex.org/W2963560594","https://openalex.org/W2963758104","https://openalex.org/W3104097132","https://openalex.org/W4233472122"],"related_works":["https://openalex.org/W2952662149","https://openalex.org/W2950946391","https://openalex.org/W3007491431","https://openalex.org/W2793616590","https://openalex.org/W4384518057","https://openalex.org/W2183090405","https://openalex.org/W2352084268","https://openalex.org/W4386179009","https://openalex.org/W2075666982","https://openalex.org/W2999398081"],"abstract_inverted_index":{"To":[0,93],"enjoy":[1],"more":[2,23],"social":[3,20,50,62,86,156],"network":[4,76,102,126,185],"services,":[5],"users":[6],"nowadays":[7],"are":[8],"usually":[9],"involved":[10],"in":[11,214],"multiple":[12,60],"online":[13],"sites":[14],"at":[15],"the":[16,27,38,48,55,71,75,85,95,123,132,142,151,175,184,189,210,216],"same":[17],"time.":[18],"Aligned":[19],"networks":[21,202],"provide":[22],"information":[24,148],"to":[25,45,90,204],"alleviate":[26],"problem":[28,42,79,220],"of":[29,84,144],"data":[30],"insufficiency.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,97,167],"target":[36],"on":[37,199],"collective":[39,113,133,217],"link":[40,114,134,190,218],"prediction":[41,115,135,219],"and":[43,70,80,87,158,178,188],"aim":[44],"predict":[46],"both":[47,150],"intra-network":[49,152,176],"links":[51,58,89],"as":[52,54],"well":[53],"inter-network":[56,159,179],"anchor":[57,88,163],"across":[59],"aligned":[61,118,201],"networks.":[63,119],"It":[64,140],"is":[65],"not":[66],"an":[67,99],"easy":[68],"task,":[69],"major":[72],"challenges":[73,192],"involve":[74],"characteristic":[77,186],"difference":[78],"different":[81,121],"directivity":[82,191],"properties":[83],"be":[91],"predicted.":[92],"address":[94],"problem,":[96],"propose":[98],"application":[100],"oriented":[101],"embedding":[103,127],"framework,":[104],"Hierarchical":[105],"Graph":[106],"Attention":[107],"based":[108],"Network":[109],"Embedding":[110],"(HGANE),":[111],"for":[112,174],"over":[116],"directed":[117],"Very":[120],"from":[122,149],"conventional":[124],"general":[125],"models,":[128],"HGANE":[129],"effectively":[130],"incorporates":[131],"task":[136],"objectives":[137],"into":[138],"consideration.":[139],"learns":[141],"representations":[143],"nodes":[145],"by":[146,155,162,221],"aggregating":[147],"neighbors":[153,177],"(connected":[154,161],"links)":[157],"partners":[160,180],"links).":[164],"What's":[165],"more,":[166],"introduce":[168],"a":[169,222],"hierarchical":[170],"graph":[171],"attention":[172],"mechanism":[173],"respectively,":[181],"which":[182],"resolves":[183],"differences":[187],"effectively.":[193],"Extensive":[194],"experiments":[195],"have":[196],"been":[197],"conducted":[198],"real-world":[200],"datasets":[203],"demonstrate":[205],"that":[206],"our":[207],"model":[208],"outperformed":[209],"state-of-the-art":[211],"baseline":[212],"methods":[213],"addressing":[215],"large":[223],"margin.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
