{"id":"https://openalex.org/W3198834681","doi":"https://doi.org/10.18293/seke2021-145","title":"HARP Pro: Hierarchical Representation Learning based on global and local features for social networks","display_name":"HARP Pro: Hierarchical Representation Learning based on global and local features for social networks","publication_year":2021,"publication_date":"2021-07-08","ids":{"openalex":"https://openalex.org/W3198834681","doi":"https://doi.org/10.18293/seke2021-145","mag":"3198834681"},"language":"en","primary_location":{"id":"doi:10.18293/seke2021-145","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-145","pdf_url":"https://doi.org/10.18293/seke2021-145","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2021-145","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100756628","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-5556-3896"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I4390039265","display_name":"PRG S&Tech (South Korea)","ror":"https://ror.org/02sr2ee22","country_code":null,"type":"company","lineage":["https://openalex.org/I4390039265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Harbin Engineering University Harbin, China","College of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Computer Science and Technology","institution_ids":["https://openalex.org/I4390039265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100756628"],"corresponding_institution_ids":["https://openalex.org/I151727225","https://openalex.org/I4390039265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12858951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2021","issue":null,"first_page":"487","last_page":"492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8986999988555908,"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/T10028","display_name":"Topic Modeling","score":0.8986999988555908,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.8526999950408936,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.8407999873161316,"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/harp","display_name":"HARP","score":0.9220098257064819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.668774425983429},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5791305303573608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5113243460655212},{"id":"https://openalex.org/keywords/social-learning","display_name":"Social learning","score":0.4812290668487549},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41339829564094543},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.11611506342887878},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.09999361634254456},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08851572871208191}],"concepts":[{"id":"https://openalex.org/C2776030095","wikidata":"https://www.wikidata.org/wiki/Q5628954","display_name":"HARP","level":2,"score":0.9220098257064819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668774425983429},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5791305303573608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5113243460655212},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.4812290668487549},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41339829564094543},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.11611506342887878},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.09999361634254456},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08851572871208191},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2021-145","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-145","pdf_url":"https://doi.org/10.18293/seke2021-145","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2021-145","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-145","pdf_url":"https://doi.org/10.18293/seke2021-145","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1451847993","display_name":null,"funder_award_id":"61402126","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3093594655","display_name":null,"funder_award_id":"61672179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4713543433","display_name":null,"funder_award_id":"61402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6249785910","display_name":null,"funder_award_id":"F2015030","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7101910637","display_name":null,"funder_award_id":"LBH-Z14071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7420505112","display_name":null,"funder_award_id":"QC2016083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8480734764","display_name":null,"funder_award_id":"61370083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8849890159","display_name":null,"funder_award_id":"201503","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3198834681.pdf","grobid_xml":"https://content.openalex.org/works/W3198834681.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W38619841","https://openalex.org/W1614298861","https://openalex.org/W1888005072","https://openalex.org/W1970913835","https://openalex.org/W2046253692","https://openalex.org/W2118585731","https://openalex.org/W2131681506","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2366141641","https://openalex.org/W2700550412","https://openalex.org/W2895469817","https://openalex.org/W3025114004","https://openalex.org/W3037835453","https://openalex.org/W3127158617","https://openalex.org/W4297571622"],"related_works":["https://openalex.org/W2091083843","https://openalex.org/W424580262","https://openalex.org/W2597835809","https://openalex.org/W4300904561","https://openalex.org/W619121476","https://openalex.org/W2807944126","https://openalex.org/W605528597","https://openalex.org/W2808146244","https://openalex.org/W2808152588","https://openalex.org/W153251015"],"abstract_inverted_index":{"The":[0,185],"purpose":[1],"of":[2,26,129,170],"network":[3,20,28,140],"representation":[4,29,150],"learning":[5,30,63],"methods":[6,31,142],"is":[7,173],"to":[8,14,113],"learn":[9],"the":[10,27,76,82,86,93,101,115,125,130,135,139,168,178],"node":[11,16,65,149],"low-dimensional":[12],"representations":[13,66],"accomplish":[15],"classification,":[17],"link":[18],"prediction,":[19],"visualization,":[21],"and":[22,37,71,98,119,155,163,177,183,194],"so":[23],"on.":[24],"Most":[25],"cannot":[32],"keep":[33,114],"local":[34,156,193],"structural":[35,39,157,196],"features":[36],"global":[38,154,195],"features,":[40],"resulting":[41],"in":[42],"poor":[43],"performance":[44,169],"at":[45],"classification":[46],"tasks":[47],"for":[48,62],"social":[49],"networks.":[50],"To":[51],"solve":[52],"this":[53],"problem,":[54],"we":[55],"propose":[56],"HARP":[57,79,171,176,189],"Pro,":[58],"a":[59,106],"novel":[60],"method":[61,109],"latent":[64],"which":[67,152],"can":[68,91,123,191],"maintain":[69],"lower-order":[70,126],"higherorder":[72],"hierarchical":[73,127,136],"structures.":[74],"On":[75,100],"one":[77],"hand,":[78,103],"Pro":[80,172,190],"coarsens":[81],"graph":[83,107],"based":[84,110],"on":[85,111,161],"community":[87],"detection":[88],"method.":[89],"It":[90,122],"preserve":[92],"relationships":[94,116],"between":[95,117],"bridge":[96],"nodes":[97,118],"communities.":[99],"other":[102],"it":[104,133,147],"presents":[105],"coarsening":[108],"Degree":[112],"their":[120],"neighborhood.":[121],"capture":[124],"structure":[128],"graph.":[131],"Then":[132],"puts":[134],"information":[137],"into":[138],"embedding":[141],"iteratively":[143],"like":[144],"HARP.":[145],"Finally,":[146],"obtains":[148],"vectors":[151],"integrate":[153],"features.":[158,197],"Experimental":[159],"results":[160,186],"CiteSeer":[162],"Blogcatalog":[164],"dataset":[165],"show":[166],"that":[167,188],"better":[174],"than":[175],"baseline":[179],"methods,":[180],"DeepWalk,":[181],"LINE,":[182],"Node2vec.":[184],"reveal":[187],"sustain":[192]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}