{"id":"https://openalex.org/W4417459178","doi":"https://doi.org/10.1002/cpe.70516","title":"Network Representation Learning Algorithm Integrating Local and Global Topology Information","display_name":"Network Representation Learning Algorithm Integrating Local and Global Topology Information","publication_year":2025,"publication_date":"2025-12-18","ids":{"openalex":"https://openalex.org/W4417459178","doi":"https://doi.org/10.1002/cpe.70516"},"language":"en","primary_location":{"id":"doi:10.1002/cpe.70516","is_oa":true,"landing_page_url":"https://doi.org/10.1002/cpe.70516","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cpe.70516","source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cpe.70516","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108580245","display_name":"L. Han","orcid":"https://orcid.org/0000-0002-0012-7832"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Han","raw_affiliation_strings":["Chongqing Key Laboratory of Signal and Information Processing Chongqing University of Posts and Telecommunications  Chongqing China","School of Communications and Information Engineering Chongqing University of Posts and Telecommunications  Chongqing China","School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Signal and Information Processing Chongqing University of Posts and Telecommunications  Chongqing China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Communications and Information Engineering Chongqing University of Posts and Telecommunications  Chongqing China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602279","display_name":"Hui Zhao","orcid":"https://orcid.org/0000-0002-7449-9057"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Zhao","raw_affiliation_strings":["Chongqing Key Laboratory of Signal and Information Processing Chongqing University of Posts and Telecommunications  Chongqing China","School of Communications and Information Engineering Chongqing University of Posts and Telecommunications  Chongqing China","School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7449-9057","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Signal and Information Processing Chongqing University of Posts and Telecommunications  Chongqing China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Communications and Information Engineering Chongqing University of Posts and Telecommunications  Chongqing China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100602279"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":4740,"currency":"USD","value_usd":4740},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20470416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.7490000128746033,"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":0.7490000128746033,"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":0.043299999088048935,"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/T13567","display_name":"AI and Multimedia in Education","score":0.013399999588727951,"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/topology","display_name":"Topology (electrical circuits)","score":0.5558000206947327},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5343000292778015},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5238999724388123},{"id":"https://openalex.org/keywords/global-network","display_name":"Global network","score":0.5005000233650208},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4790000021457672},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.46389999985694885},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4616999924182892}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6930999755859375},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5558000206947327},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5343000292778015},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5238999724388123},{"id":"https://openalex.org/C123138037","wikidata":"https://www.wikidata.org/wiki/Q5570871","display_name":"Global network","level":2,"score":0.5005000233650208},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4790000021457672},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4616999924182892},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.392300009727478},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.3741999864578247},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.36039999127388},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3336000144481659},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28459998965263367},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.2687999904155731},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/cpe.70516","is_oa":true,"landing_page_url":"https://doi.org/10.1002/cpe.70516","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cpe.70516","source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1002/cpe.70516","is_oa":true,"landing_page_url":"https://doi.org/10.1002/cpe.70516","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cpe.70516","source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2926930228","display_name":"\u590d\u6742\u4f53\u5236BOC\u8c03\u5236\u76f4\u6269\u4fe1\u53f7\u7684\u68c0\u6d4b\u4e0e\u4f30\u8ba1\u7814\u7a76","funder_award_id":"61671095","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":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417459178.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2053186076","https://openalex.org/W2090891622","https://openalex.org/W2093402979","https://openalex.org/W2100221277","https://openalex.org/W2133131640","https://openalex.org/W2145658888","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2415243320","https://openalex.org/W2607500032","https://openalex.org/W2612872092","https://openalex.org/W2700550412","https://openalex.org/W2800017313","https://openalex.org/W2809156873","https://openalex.org/W2914663205","https://openalex.org/W2947411064","https://openalex.org/W2951153965","https://openalex.org/W2962756421","https://openalex.org/W2997569276","https://openalex.org/W3011667710","https://openalex.org/W3024560045","https://openalex.org/W3026423472","https://openalex.org/W3033623365","https://openalex.org/W3034090344","https://openalex.org/W3108458441","https://openalex.org/W3136021864","https://openalex.org/W3157433896","https://openalex.org/W3157999218","https://openalex.org/W3173768166","https://openalex.org/W3176294187","https://openalex.org/W3209485964","https://openalex.org/W3210619801","https://openalex.org/W4206776774","https://openalex.org/W4214816716","https://openalex.org/W4220796987","https://openalex.org/W4224218893","https://openalex.org/W4229458781","https://openalex.org/W4238452917","https://openalex.org/W4246877238","https://openalex.org/W4285891014","https://openalex.org/W4381620398","https://openalex.org/W4382245974","https://openalex.org/W4391824669"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Network":[1,27],"representation":[2,28,68,96],"learning":[3,29,69],"can":[4],"map":[5],"high\u2010dimensional":[6],"sparse":[7],"network":[8,33,57,67,101,241],"data":[9],"into":[10,50],"a":[11,65,108,161],"low\u2010dimensional":[12],"vector":[13],"space":[14],"while":[15],"preserving":[16],"as":[17,25,178],"much":[18],"of":[19,129,132,149,182,231,247],"the":[20,52,74,87,105,123,133,142,147,155,158,171,179,183,205,210,213,227,232,245,248],"topology":[21,34],"and":[22,47,80,89,126,195,220],"node":[23,229],"information":[24,35,56,153,215],"feasible.":[26],"methods":[30,42],"for":[31],"obtaining":[32],"have":[36],"emerged":[37],"in":[38,154,209],"recent":[39],"years.":[40],"These":[41,185],"do,":[43],"however,":[44],"not":[45],"completely":[46],"adequately":[48],"take":[49],"account":[51],"local":[53,75,88,106,150,219],"or":[54],"global":[55,81,90,159,162,172,180,192,206,221],"topologies.":[58],"To":[59],"address":[60],"this":[61],"problem,":[62],"we":[63],"propose":[64],"novel":[66],"method.":[70],"This":[71,136],"method":[72],"designs":[73],"influence\u2010based":[76],"random":[77,110,143],"walk":[78,111,144],"strategy":[79],"similarity":[82,163,173],"importance":[83,128,174],"to":[84,94,99,140,168,203,225],"separately":[85],"capture":[86,148],"topological":[91,102,151,207,214],"information,":[92],"aiming":[93],"improve":[95],"learning's":[97],"ability":[98],"learn":[100],"structure.":[103],"On":[104,157],"level,":[107,160],"new":[109],"metric":[112,137],"named":[113],"\u201clocal":[114],"influence\u201d":[115],"is":[116,119,138,166,223],"designed,":[117],"which":[118,243],"constructed":[120,201],"by":[121],"fusing":[122],"structural":[124,193],"entropy":[125],"degree":[127],"neighboring":[130],"nodes":[131,175,186],"target":[134],"node.":[135],"utilized":[139],"guide":[141],"process,":[145],"enabling":[146],"structure":[152],"network.":[156,184,211,233],"importance\u2010based":[164],"algorithm":[165],"proposed":[167,249],"filter":[169],"out":[170],"that":[176],"serve":[177],"backbone":[181],"are":[187,198],"selected":[188],"based":[189],"on":[190,238],"their":[191,196],"relevance,":[194],"representations":[197,230],"learned":[199],"from":[200,217],"subgraphs":[202],"encode":[204],"properties":[208],"Finally,":[212],"obtained":[216],"both":[218],"levels":[222],"combined":[224],"enhance":[226],"overall":[228],"We":[234],"conduct":[235],"extensive":[236],"experiments":[237],"five":[239],"real\u2010world":[240],"datasets":[242],"demonstrate":[244],"effectiveness":[246],"approach.":[250]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-12-18T00:00:00"}