{"id":"https://openalex.org/W2808844541","doi":"https://doi.org/10.1145/3219819.3219953","title":"Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs","display_name":"Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2808844541","doi":"https://doi.org/10.1145/3219819.3219953","mag":"2808844541"},"language":"en","primary_location":{"id":"doi:10.1145/3219819.3219953","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3219953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International 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/A5086824367","display_name":"Zemin Liu","orcid":"https://orcid.org/0000-0002-9211-6603"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zemin Liu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065995973","display_name":"Vincent W. Zheng","orcid":"https://orcid.org/0000-0002-0904-3184"},"institutions":[{"id":"https://openalex.org/I4210108443","display_name":"Advanced Digital Sciences Center","ror":"https://ror.org/01xaqx887","country_code":"SG","type":"facility","lineage":["https://openalex.org/I4210108443"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Vincent W. Zheng","raw_affiliation_strings":["Advanced Digital Sciences Center, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Advanced Digital Sciences Center, Singapore, Singapore","institution_ids":["https://openalex.org/I4210108443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079260216","display_name":"Zhou Zhao","orcid":"https://orcid.org/0000-0001-6121-0384"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Zhao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032277491","display_name":"Zhao Li","orcid":"https://orcid.org/0000-0002-5056-0351"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Li","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082599714","display_name":"Hongxia Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxia Yang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101925641","display_name":"Minghui Wu","orcid":"https://orcid.org/0000-0001-8179-7119"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minghui Wu","raw_affiliation_strings":["Zhejiang University City College, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University City College, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026372103","display_name":"Ying Jing","orcid":"https://orcid.org/0000-0003-0295-760X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Ying","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5086824367"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":4.0721,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95062097,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1860","last_page":"1869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7566584944725037},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.684429407119751},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.588806688785553},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5326454639434814},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5180066227912903},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49701860547065735},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.47279542684555054},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4168801009654999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30267444252967834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.277176171541214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7566584944725037},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.684429407119751},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.588806688785553},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5326454639434814},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5180066227912903},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49701860547065735},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.47279542684555054},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4168801009654999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30267444252967834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.277176171541214},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3219819.3219953","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3219953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1511986666","https://openalex.org/W1924770834","https://openalex.org/W2021515354","https://openalex.org/W2029249040","https://openalex.org/W2069153192","https://openalex.org/W2104246439","https://openalex.org/W2107569009","https://openalex.org/W2107961038","https://openalex.org/W2126359798","https://openalex.org/W2127795553","https://openalex.org/W2154851992","https://openalex.org/W2155461593","https://openalex.org/W2283196293","https://openalex.org/W2289899728","https://openalex.org/W2299115575","https://openalex.org/W2384495648","https://openalex.org/W2387462954","https://openalex.org/W2402336193","https://openalex.org/W2406128552","https://openalex.org/W2441800701","https://openalex.org/W2473104040","https://openalex.org/W2512531235","https://openalex.org/W2556343638","https://openalex.org/W2605174772","https://openalex.org/W2607500032","https://openalex.org/W2623546809","https://openalex.org/W2623953357","https://openalex.org/W2624431344","https://openalex.org/W2740929390","https://openalex.org/W2742503211","https://openalex.org/W2743104969","https://openalex.org/W2764075199","https://openalex.org/W2767849480","https://openalex.org/W2783324411","https://openalex.org/W2788585226","https://openalex.org/W2789220419","https://openalex.org/W2950956209","https://openalex.org/W2962756421","https://openalex.org/W2962767366","https://openalex.org/W2962965465","https://openalex.org/W2963224980","https://openalex.org/W2963416007","https://openalex.org/W2963493749","https://openalex.org/W2963503534","https://openalex.org/W2963731165","https://openalex.org/W2963842982","https://openalex.org/W3104097132"],"related_works":["https://openalex.org/W2551237228","https://openalex.org/W3014537556","https://openalex.org/W4307647416","https://openalex.org/W2793488029","https://openalex.org/W4285821569","https://openalex.org/W4287763734","https://openalex.org/W3035116611","https://openalex.org/W4226361842","https://openalex.org/W2923818335","https://openalex.org/W4310879833"],"abstract_inverted_index":{"Semantic":[0],"proximity":[1,21,42,122],"search":[2],"on":[3,25,127],"heterogeneous":[4,27,135],"graph":[5,28],"is":[6,11],"an":[7,106],"important":[8],"task,":[9],"and":[10,49,99,137],"useful":[12],"for":[13,116,121],"many":[14],"applications.":[15],"It":[16],"aims":[17],"to":[18,38,88],"measure":[19,39],"the":[20,40,54,63,72,90,117,143],"between":[22,95],"two":[23],"nodes":[24],"a":[26,46,50,66,82,96,100],"w.r.t.":[29],"some":[30],"given":[31],"semantic":[32,41],"relation.":[33],"Prior":[34],"work":[35],"often":[36,61],"tries":[37],"by":[43],"paths":[44,64,87,94],"connecting":[45],"query":[47,97],"object":[48,98],"target":[51,101],"object.":[52,102],"Despite":[53],"success":[55],"of":[56,85,134],"such":[57],"path-based":[58],"approaches,":[59],"they":[60],"modeled":[62],"in":[65],"weakly":[67],"coupled":[68],"manner,":[69],"which":[70,112],"overlooked":[71],"rich":[73],"interactions":[74],"among":[75,92],"paths.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80],"introduce":[81],"novel":[83],"concept":[84],"interactive":[86],"model":[89,141],"inter-dependency":[91],"multiple":[93],"We":[103,124],"then":[104],"propose":[105],"Interactive":[107],"Paths":[108],"Embedding":[109],"(IPE)":[110],"model,":[111],"learns":[113],"low-dimensional":[114],"representations":[115],"resulting":[118],"interactive-paths":[119],"structures":[120],"estimation.":[123],"conduct":[125],"experiments":[126],"seven":[128],"relations":[129],"with":[130],"four":[131],"different":[132],"types":[133],"graphs,":[136],"show":[138],"that":[139],"our":[140],"outperforms":[142],"state-of-the-art":[144],"baselines.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}