{"id":"https://openalex.org/W2917731813","doi":"https://doi.org/10.1109/access.2019.2900920","title":"Multi-Path Relationship Preserved Social Network Embedding","display_name":"Multi-Path Relationship Preserved Social Network Embedding","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2917731813","doi":"https://doi.org/10.1109/access.2019.2900920","mag":"2917731813"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2900920","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900920","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08649580.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08649580.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012670622","display_name":"Jianfeng Lin","orcid":"https://orcid.org/0000-0002-0759-8565"},"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":true,"raw_author_name":"Jianfeng Lin","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, 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/A5080798381","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-6447-2053"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Institute of Bio-inspired Intelligence and Mining Knowledge, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6447-2053","affiliations":[{"raw_affiliation_string":"Institute of Bio-inspired Intelligence and Mining Knowledge, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420231","display_name":"Ming He","orcid":"https://orcid.org/0000-0002-1870-7472"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming He","raw_affiliation_strings":["Quantum Lab, Research Institute of OPPO, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quantum Lab, Research Institute of OPPO, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053788605","display_name":"Hefu Zhang","orcid":"https://orcid.org/0000-0003-1881-3192"},"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":"Hefu Zhang","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, 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/A5015586553","display_name":"Guiquan Liu","orcid":"https://orcid.org/0000-0003-0653-3935"},"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":"Guiquan Liu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, 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/A5102934479","display_name":"Xiuyuan Chen","orcid":"https://orcid.org/0000-0002-0741-7074"},"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":"Xiuyuan Chen","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, 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/A5102000997","display_name":"Zhongming Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhongming Chen","raw_affiliation_strings":["Quantum Lab, Research Institute of OPPO, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quantum Lab, Research Institute of OPPO, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012670622"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3066,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85223868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"26507","last_page":"26518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9926000237464905,"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":0.7939857244491577},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7288743853569031},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6924384832382202},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.6772424578666687},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6043895483016968},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5873857140541077},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4861759543418884},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44237253069877625},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43533483147621155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41588035225868225},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38582995533943176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33227866888046265},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2584124207496643},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.12034428119659424},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11371350288391113}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7939857244491577},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7288743853569031},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6924384832382202},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.6772424578666687},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6043895483016968},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5873857140541077},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4861759543418884},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44237253069877625},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43533483147621155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41588035225868225},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38582995533943176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33227866888046265},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2584124207496643},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.12034428119659424},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11371350288391113},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2900920","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900920","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08649580.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:decde7d2d96841f1861e7e08fc40d20f","is_oa":true,"landing_page_url":"https://doaj.org/article/decde7d2d96841f1861e7e08fc40d20f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 26507-26518 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2900920","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900920","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08649580.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G3109304166","display_name":null,"funder_award_id":"J01006057","funder_id":"https://openalex.org/F4320321435","funder_display_name":"Anhui University"},{"id":"https://openalex.org/G5736638667","display_name":null,"funder_award_id":"61876184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7294903002","display_name":null,"funder_award_id":"2018YFC0832101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7895016446","display_name":null,"funder_award_id":"61502001","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/F4320321435","display_name":"Anhui University","ror":"https://ror.org/05th6yx34"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2917731813.pdf","grobid_xml":"https://content.openalex.org/works/W2917731813.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W348384746","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1614298861","https://openalex.org/W1888005072","https://openalex.org/W2001141328","https://openalex.org/W2046253692","https://openalex.org/W2053186076","https://openalex.org/W2062797058","https://openalex.org/W2079735306","https://openalex.org/W2090891622","https://openalex.org/W2095705004","https://openalex.org/W2118585731","https://openalex.org/W2131774270","https://openalex.org/W2145658888","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2194775991","https://openalex.org/W2393319904","https://openalex.org/W2427862964","https://openalex.org/W2530041791","https://openalex.org/W2546547051","https://openalex.org/W2551441958","https://openalex.org/W2574817444","https://openalex.org/W2583803680","https://openalex.org/W2584848220","https://openalex.org/W2605174772","https://openalex.org/W2739747431","https://openalex.org/W2739946816","https://openalex.org/W2750784772","https://openalex.org/W2788338934","https://openalex.org/W2809156873","https://openalex.org/W2950723285","https://openalex.org/W2962756421","https://openalex.org/W2962975498","https://openalex.org/W2964199361","https://openalex.org/W3104097132","https://openalex.org/W4232932184","https://openalex.org/W4294170691","https://openalex.org/W4300009786","https://openalex.org/W4322614756","https://openalex.org/W6611947346","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6674330103","https://openalex.org/W6677656871","https://openalex.org/W6682691769","https://openalex.org/W6682755970","https://openalex.org/W6731976766","https://openalex.org/W6736162812","https://openalex.org/W6743188669","https://openalex.org/W6834473044"],"related_works":["https://openalex.org/W2952662149","https://openalex.org/W2476079015","https://openalex.org/W2556086418","https://openalex.org/W2747027460","https://openalex.org/W2793616590","https://openalex.org/W2183090405","https://openalex.org/W2075666982","https://openalex.org/W2065835655","https://openalex.org/W3160699245","https://openalex.org/W2782955270"],"abstract_inverted_index":{"Social":[0],"network":[1,6,17,79,91,97,148],"embedding,":[2],"namely,":[3],"embedding":[4,80],"social":[5,16,55,78,96,113,147],"nodes":[7,45],"into":[8,154],"a":[9,74,119],"low-dimensional":[10],"space,":[11],"is":[12,85,128],"the":[13,40,47,88,111,133,168],"foundation":[14],"of":[15,36,135],"analysis,":[18],"such":[19,64],"as":[20,69],"node":[21,100,151,155,172],"classification":[22,173],"and":[23,53,66,72,99,150,175],"link":[24,176],"prediction.":[25],"Although":[26],"many":[27],"existing":[28],"methods":[29],"attempt":[30],"to":[31,109,130,144],"address":[32],"this":[33,60],"task,":[34],"most":[35],"them":[37],"only":[38],"consider":[39],"shallow":[41],"relationship":[42,76,114,126],"between":[43,57,116],"two":[44,139,161],"in":[46],"network,":[48],"which":[49,84],"ignore":[50],"capturing":[51],"multiple":[52,65,112],"semantic-rich":[54,67],"relationships":[56,68],"users.":[58],"To":[59],"end,":[61],"we":[62,104],"define":[63],"multi-path":[70,75,125,136],"relationships,":[71],"propose":[73],"preserved":[77],"method":[81],"named":[82],"MPR-SNE,":[83],"based":[86],"on":[87,160,171],"recurrent":[89,121],"neural":[90],"framework":[92],"that":[93,165],"incorporates":[94],"both":[95],"structure":[98,149],"profile":[101,152],"information.":[102],"Specifically,":[103],"first":[105],"utilize":[106],"random":[107],"walks":[108],"explore":[110],"paths":[115],"nodes.":[117],"Then,":[118],"new":[120],"unit":[122,127],"called":[123],"bi-directional":[124],"proposed":[129],"better":[131],"capture":[132],"properties":[134],"relationships.":[137],"Finally,":[138],"objective":[140],"functions":[141],"are":[142],"designed":[143],"seamlessly":[145],"integrate":[146],"information":[153],"representation.":[156],"The":[157],"experimental":[158],"results":[159],"real-world":[162],"networks":[163],"show":[164],"MPR-SNE":[166],"outperforms":[167],"state-of-the-art":[169],"baselines":[170],"task":[174],"prediction":[177],"task.":[178]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}