{"id":"https://openalex.org/W7117312579","doi":"https://doi.org/10.3390/e28010026","title":"Less for Better: A View Filter-Driven Graph Representation Fusion Network","display_name":"Less for Better: A View Filter-Driven Graph Representation Fusion Network","publication_year":2025,"publication_date":"2025-12-24","ids":{"openalex":"https://openalex.org/W7117312579","doi":"https://doi.org/10.3390/e28010026","pmid":"https://pubmed.ncbi.nlm.nih.gov/41593933"},"language":"en","primary_location":{"id":"doi:10.3390/e28010026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e28010026","pdf_url":"https://www.mdpi.com/1099-4300/28/1/26/pdf?version=1767011691","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","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/1099-4300/28/1/26/pdf?version=1767011691","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yue Wang","orcid":"https://orcid.org/0009-0000-5261-4854"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, Zhenjiang 212003, China"],"raw_orcid":"https://orcid.org/0009-0000-5261-4854","affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102636168","display_name":"Xibei Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xibei Yang","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, Zhenjiang 212003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101623884","display_name":"Keyu Liu","orcid":"https://orcid.org/0000-0002-3188-6284"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyu Liu","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, Zhenjiang 212003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036232487","display_name":"Qihang Guo","orcid":"https://orcid.org/0009-0003-4053-3880"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihang Guo","raw_affiliation_strings":["School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212100, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038291372","display_name":"Xun Wang","orcid":"https://orcid.org/0000-0001-9389-7280"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xun Wang","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, Zhenjiang 212003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang 212003, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038291372"],"corresponding_institution_ids":["https://openalex.org/I4210096899"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7426262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"1","first_page":"26","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.7587000131607056,"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":0.7587000131607056,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.09809999912977219,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.02810000069439411,"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/representation","display_name":"Representation (politics)","score":0.5529000163078308},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5249000191688538},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5184999704360962},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4821000099182129},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4805000126361847},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47679999470710754},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41269999742507935},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.41110000014305115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7271000146865845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5726000070571899},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5529000163078308},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5249000191688538},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5184999704360962},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4821000099182129},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4805000126361847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4803999960422516},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47679999470710754},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38179999589920044},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.31709998846054077},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.31380000710487366},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27309998869895935},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.25049999356269836}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e28010026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e28010026","pdf_url":"https://www.mdpi.com/1099-4300/28/1/26/pdf?version=1767011691","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:41593933","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41593933","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ddf7d59dfb854f95859c794e2e801ffc","is_oa":true,"landing_page_url":"https://doaj.org/article/ddf7d59dfb854f95859c794e2e801ffc","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":"Entropy, Vol 28, Iss 1, p 26 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12839875","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12839875/","pdf_url":null,"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":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e28010026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e28010026","pdf_url":"https://www.mdpi.com/1099-4300/28/1/26/pdf?version=1767011691","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8859780408","display_name":null,"funder_award_id":"62506145","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7117312579.pdf","grobid_xml":"https://content.openalex.org/works/W7117312579.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-view":[0],"learning":[1,10,52],"has":[2],"recently":[3],"gained":[4],"considerable":[5],"attention":[6],"in":[7],"graph":[8,58],"representation":[9,24,40,51,59],"as":[11],"it":[12],"enables":[13],"the":[14,44,65,70,92,133,138],"fusion":[15,60,121,129],"of":[16,122],"complementary":[17],"information":[18,145],"from":[19],"multiple":[20],"views":[21,33,76,95,109,135],"to":[22,89,103,117,136],"enhance":[23,112],"quality.":[25,41],"However,":[26],"most":[27,93],"existing":[28,162],"studies":[29],"neglect":[30],"that":[31,131],"irrelevant":[32,79],"may":[34],"introduce":[35],"noise":[36],"and":[37,153],"negatively":[38],"affect":[39],"To":[42],"address":[43],"issue,":[45],"we":[46,125],"propose":[47,126],"a":[48,55,143],"novel":[49,144],"multi-view":[50],"framework":[53,71],"called":[54],"View":[56],"Filter-driven":[57],"network,":[61],"named":[62],"ViFi.":[63],"Following":[64],"\u201cless":[66],"for":[67],"better\u201d":[68],"principle,":[69],"focuses":[72],"on":[73,151],"filtering":[74],"informative":[75,94,123],"while":[77],"discarding":[78],"ones.":[80],"Specifically,":[81],"an":[82,127],"entropy-based":[83],"adaptive":[84],"view":[85],"filter":[86,91],"was":[87],"designed":[88],"dynamically":[90],"by":[96],"evaluating":[97],"their":[98,113],"feature\u2013topology":[99],"entropy":[100],"characteristics,":[101],"aiming":[102],"not":[104],"only":[105],"reduce":[106],"irrelevance":[107],"among":[108],"but":[110],"also":[111],"complementarity.":[114],"In":[115],"addition,":[116],"promote":[118],"more":[119],"effective":[120],"views,":[124],"optimized":[128],"mechanism":[130],"leverages":[132],"filtered":[134],"identify":[137],"optimal":[139],"integration":[140],"strategy":[141],"using":[142],"gain":[146],"function.":[147],"Through":[148],"extensive":[149],"experiments":[150],"classification":[152],"clustering":[154],"tasks,":[155],"ViFi":[156],"demonstrates":[157],"clear":[158],"performance":[159],"advantages":[160],"over":[161],"state-of-the-art":[163],"approaches.":[164]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-12-26T00:00:00"}