{"id":"https://openalex.org/W4212853450","doi":"https://doi.org/10.1145/3488560.3498470","title":"Directed Network Embedding with Virtual Negative Edges","display_name":"Directed Network Embedding with Virtual Negative Edges","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4212853450","doi":"https://doi.org/10.1145/3488560.3498470"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3498470","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498470","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5022342075","display_name":"Hyunsik Yoo","orcid":"https://orcid.org/0000-0001-5253-5646"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunsik Yoo","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028740930","display_name":"Yeon-Chang Lee","orcid":"https://orcid.org/0000-0002-8769-0678"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeon-Chang Lee","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028609723","display_name":"Kijung Shin","orcid":"https://orcid.org/0000-0002-2872-1526"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kijung Shin","raw_affiliation_strings":["KAIST, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100656150","display_name":"Sang\u2010Wook Kim","orcid":"https://orcid.org/0000-0002-6345-9084"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Wook Kim","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1291","last_page":"1299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9965999722480774,"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":0.900600016117096,"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":0.7213557362556458},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7160394191741943},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6263645887374878},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.6057883501052856},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5416160225868225},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5109323859214783},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3305739760398865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28441548347473145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21794241666793823},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12630340456962585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213557362556458},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7160394191741943},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6263645887374878},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.6057883501052856},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5416160225868225},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5109323859214783},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3305739760398865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28441548347473145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21794241666793823},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12630340456962585},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488560.3498470","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498470","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W44499440","https://openalex.org/W1888005072","https://openalex.org/W1979584682","https://openalex.org/W1985852691","https://openalex.org/W2026417691","https://openalex.org/W2053081145","https://openalex.org/W2090891622","https://openalex.org/W2114051435","https://openalex.org/W2124187902","https://openalex.org/W2130789338","https://openalex.org/W2154851992","https://openalex.org/W2157825442","https://openalex.org/W2171774716","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2595947069","https://openalex.org/W2604942799","https://openalex.org/W2605234117","https://openalex.org/W2623187518","https://openalex.org/W2798914753","https://openalex.org/W2808466528","https://openalex.org/W2913932916","https://openalex.org/W2962756421","https://openalex.org/W2962833907","https://openalex.org/W2962975498","https://openalex.org/W2963512530","https://openalex.org/W2964140784","https://openalex.org/W2984343629","https://openalex.org/W3004372885","https://openalex.org/W3034402203","https://openalex.org/W3035739162","https://openalex.org/W3087752764","https://openalex.org/W3098357959","https://openalex.org/W3103188595","https://openalex.org/W3103254545","https://openalex.org/W3104097132","https://openalex.org/W3154030086"],"related_works":["https://openalex.org/W1904757850","https://openalex.org/W2949714594","https://openalex.org/W2055709700","https://openalex.org/W2015192756","https://openalex.org/W1584420410","https://openalex.org/W2120815133","https://openalex.org/W1503053695","https://openalex.org/W4249271267","https://openalex.org/W2806860970","https://openalex.org/W3159657541"],"abstract_inverted_index":{"The":[0],"directed":[1,13,156],"network":[2,14,57],"embedding":[3],"problem":[4],"is":[5],"to":[6,128,131,173,191,193,200],"represent":[7,95],"the":[8,22,80,87,103,122,132,145,163,185],"nodes":[9,53],"in":[10,47,54],"a":[11,28,55,59,107],"given":[12],"as":[15,117],"embeddings":[16,141,176,186],"(i.e.,":[17],"low-dimensional":[18],"vectors)":[19],"that":[20,41,159,177],"preserve":[21],"asymmetric":[23,50,180],"relationships":[24,98],"between":[25,52,99,182],"nodes.":[26,67,100,183],"While":[27],"number":[29,61,123],"of":[30,62,82,89,126,149,165],"approaches":[31,43],"have":[32],"been":[33],"developed":[34],"for":[35],"this":[36,69,75],"problem,":[37],"we":[38,71,105],"point":[39],"out":[40],"existing":[42],"commonly":[44],"face":[45],"difficulties":[46],"accurately":[48,178],"preserving":[49],"proximities":[51,181],"sparse":[56],"containing":[58],"large":[60],"low":[63],"out-":[64],"and":[65,124,147],"in-degree":[66],"In":[68],"paper,":[70],"focus":[72],"on":[73,102,153],"addressing":[74],"intrinsic":[76],"difficulty":[77],"caused":[78],"by":[79,142,188,203],"lack":[81,164],"information.":[83],"We":[84],"first":[85],"introduce":[86],"concept":[88],"virtual":[90],"negative":[91,97],"edges":[92],"(VNEs),":[93],"which":[94],"latent":[96],"Based":[101],"concept,":[104],"propose":[106],"novel":[108],"DIrected":[109],"NE":[110],"approach":[111],"with":[112],"VIrtual":[113],"Negative":[114],"Edges,":[115],"named":[116],"DIVINE.":[118],"DIVINE":[119,139,172,189],"carefully":[120],"decides":[121],"locations":[125],"VNEs":[127,136,161],"be":[129],"added":[130],"input":[133],"network.":[134],"Once":[135],"are":[137],"added,":[138],"learns":[140],"exploiting":[143],"both":[144],"signs":[146],"directions":[148],"edges.":[150],"Our":[151],"experiments":[152],"four":[154],"real-world":[155],"networks":[157],"demonstrate":[158],"adding":[160],"alleviates":[162],"information":[166],"about":[167],"low-degree":[168],"nodes,":[169],"thereby":[170],"enabling":[171],"yield":[174],"high-quality":[175],"capture":[179],"Specifically,":[184],"obtained":[187,202],"lead":[190],"up":[192],"10.16%":[194],"more":[195],"accurate":[196],"link":[197],"prediction,":[198],"compared":[199],"those":[201],"state-of-the-art":[204],"competitors.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}