{"id":"https://openalex.org/W4384821392","doi":"https://doi.org/10.3390/s23146527","title":"Improved Skip-Gram Based on Graph Structure Information","display_name":"Improved Skip-Gram Based on Graph Structure Information","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W4384821392","doi":"https://doi.org/10.3390/s23146527","pmid":"https://pubmed.ncbi.nlm.nih.gov/37514822"},"language":"en","primary_location":{"id":"doi:10.3390/s23146527","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146527","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6527/pdf?version=1689780815","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/14/6527/pdf?version=1689780815","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068317511","display_name":"Xiaojie Wang","orcid":"https://orcid.org/0009-0002-0128-1687"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Wang","raw_affiliation_strings":["School of Computer Science, China West Normal University, Nanchong 637002, China"],"raw_orcid":"https://orcid.org/0009-0002-0128-1687","affiliations":[{"raw_affiliation_string":"School of Computer Science, China West Normal University, Nanchong 637002, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100300986","display_name":"Haijun Zhao","orcid":"https://orcid.org/0009-0007-0807-9197"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haijun Zhao","raw_affiliation_strings":["School of Computer Science, China West Normal University, Nanchong 637002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China West Normal University, Nanchong 637002, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103039365","display_name":"Huayue Chen","orcid":"https://orcid.org/0000-0002-4875-0017"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huayue Chen","raw_affiliation_strings":["School of Computer Science, China West Normal University, Nanchong 637002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China West Normal University, Nanchong 637002, China","institution_ids":["https://openalex.org/I16351329"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100300986"],"corresponding_institution_ids":["https://openalex.org/I16351329"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.0548,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80797647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"14","first_page":"6527","last_page":"6527"},"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/T10028","display_name":"Topic Modeling","score":0.9961000084877014,"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":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6807478666305542},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6172237992286682},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5861934423446655},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5373706817626953},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4840337634086609},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4578598141670227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44046691060066223},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.41437965631484985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6807478666305542},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6172237992286682},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5861934423446655},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5373706817626953},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4840337634086609},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4578598141670227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44046691060066223},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.41437965631484985}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23146527","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146527","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6527/pdf?version=1689780815","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37514822","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37514822","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10383593","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10383593","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10383593/pdf/sensors-23-06527.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:61b8c635de1546b5b10107a4370197d5","is_oa":true,"landing_page_url":"https://doaj.org/article/61b8c635de1546b5b10107a4370197d5","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":"Sensors, Vol 23, Iss 14, p 6527 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/14/6527/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23146527","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 14; Pages: 6527","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23146527","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146527","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6527/pdf?version=1689780815","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G8796355893","display_name":null,"funder_award_id":"2022NSFSC0536","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4384821392.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1787892060","https://openalex.org/W1888005072","https://openalex.org/W2085487226","https://openalex.org/W2090891622","https://openalex.org/W2109726592","https://openalex.org/W2116341502","https://openalex.org/W2125031621","https://openalex.org/W2145104872","https://openalex.org/W2145658888","https://openalex.org/W2154851992","https://openalex.org/W2159895443","https://openalex.org/W2242161203","https://openalex.org/W2393319904","https://openalex.org/W2405933695","https://openalex.org/W2461384792","https://openalex.org/W2518937691","https://openalex.org/W2577326063","https://openalex.org/W2583803680","https://openalex.org/W2733414844","https://openalex.org/W2767849480","https://openalex.org/W2788614083","https://openalex.org/W2808278972","https://openalex.org/W2890855364","https://openalex.org/W2914833637","https://openalex.org/W2917431650","https://openalex.org/W2943373497","https://openalex.org/W2952402334","https://openalex.org/W2962756421","https://openalex.org/W2962779748","https://openalex.org/W2963347649","https://openalex.org/W2963410212","https://openalex.org/W2963603080","https://openalex.org/W2964418074","https://openalex.org/W2966050677","https://openalex.org/W2966859223","https://openalex.org/W2976017519","https://openalex.org/W3028571922","https://openalex.org/W3080456792","https://openalex.org/W3098702884","https://openalex.org/W3103311102","https://openalex.org/W3104097132","https://openalex.org/W3123909522","https://openalex.org/W3169450514","https://openalex.org/W3213635792","https://openalex.org/W4206246626","https://openalex.org/W4220916858","https://openalex.org/W4226120744","https://openalex.org/W4285260294","https://openalex.org/W4291474301","https://openalex.org/W4294170691","https://openalex.org/W4294558607","https://openalex.org/W4303426745","https://openalex.org/W4309175881","https://openalex.org/W4312856860","https://openalex.org/W4317740030","https://openalex.org/W4383227077","https://openalex.org/W6678885109","https://openalex.org/W6682691769","https://openalex.org/W6738964360","https://openalex.org/W6760001035","https://openalex.org/W6848089598"],"related_works":["https://openalex.org/W4286432911","https://openalex.org/W3206528106","https://openalex.org/W3036264823","https://openalex.org/W2912814903","https://openalex.org/W2123605750","https://openalex.org/W2088740331","https://openalex.org/W3038102983","https://openalex.org/W2950907416","https://openalex.org/W1559483280","https://openalex.org/W2082479932"],"abstract_inverted_index":{"Applying":[0],"the":[1,21,25,46,50,60,72,80,96,143],"Skip-gram":[2,26,29,97,104],"to":[3,36,70,131,173],"graph":[4,31,56,63,76,87,100,174],"representation":[5,32,64,175],"learning":[6,65],"has":[7],"become":[8],"a":[9,67,109,126,149],"widely":[10],"researched":[11],"topic":[12],"in":[13,30,120],"recent":[14],"years.":[15],"Prior":[16],"works":[17],"usually":[18],"focus":[19],"on":[20,136,148],"migration":[22],"application":[23],"of":[24,62,75,86,95,111,145],"model,":[27],"while":[28],"learning,":[33],"initially":[34],"applied":[35],"word":[37,53,118],"embedding,":[38],"is":[39,170],"left":[40],"insufficiently":[41],"explored.":[42],"To":[43],"compensate":[44],"for":[45,113],"shortcoming,":[47],"we":[48,89,124],"analyze":[49],"difference":[51],"between":[52],"embedding":[54,57,77],"and":[55,58,83,152,161],"reveal":[59],"principle":[61],"through":[66],"case":[68,81],"study":[69,82],"explain":[71],"essential":[73],"idea":[74],"intuitively.":[78],"Through":[79],"in-depth":[84],"understanding":[85],"embeddings,":[88],"propose":[90],"Graph":[91,103],"Skip-gram,":[92],"an":[93],"extension":[94],"model":[98],"using":[99],"structure":[101],"information.":[102],"can":[105],"be":[106],"combined":[107],"with":[108],"variety":[110],"algorithms":[112],"excellent":[114],"adaptability.":[115],"Inspired":[116],"by":[117],"embeddings":[119],"natural":[121],"language":[122],"processing,":[123],"design":[125],"novel":[127],"feature":[128],"fusion":[129],"algorithm":[130],"fuse":[132],"node":[133,137],"vectors":[134],"based":[135],"vector":[138],"similarity.":[139],"We":[140],"fully":[141],"articulate":[142],"ideas":[144],"our":[146,167],"approach":[147,169],"small":[150],"network":[151],"provide":[153],"extensive":[154],"experimental":[155],"comparisons,":[156],"including":[157],"multiple":[158],"classification":[159],"tasks":[160],"link":[162],"prediction":[163],"tasks,":[164],"demonstrating":[165],"that":[166],"proposed":[168],"more":[171],"applicable":[172],"learning.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}