{"id":"https://openalex.org/W4387309424","doi":"https://doi.org/10.1007/s00521-023-09052-4","title":"DAC-HPP: deep attributed clustering with high-order proximity preserve","display_name":"DAC-HPP: deep attributed clustering with high-order proximity preserve","publication_year":2023,"publication_date":"2023-10-03","ids":{"openalex":"https://openalex.org/W4387309424","doi":"https://doi.org/10.1007/s00521-023-09052-4"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-023-09052-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-09052-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-09052-4.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-09052-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065051130","display_name":"Kamal Berahmand","orcid":"https://orcid.org/0000-0003-4459-0703"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Kamal Berahmand","raw_affiliation_strings":["School of Computer Science, Faculty of Science, Queensland University of Technology (QUT), Organization, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4459-0703","affiliations":[{"raw_affiliation_string":"School of Computer Science, Faculty of Science, Queensland University of Technology (QUT), Organization, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627256","display_name":"Yuefeng Li","orcid":"https://orcid.org/0000-0002-3594-8980"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuefeng Li","raw_affiliation_strings":["School of Computer Science, Faculty of Science, Queensland University of Technology (QUT), Organization, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Faculty of Science, Queensland University of Technology (QUT), Organization, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445659","display_name":"Yue Xu","orcid":"https://orcid.org/0000-0002-1137-0272"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yue Xu","raw_affiliation_strings":["School of Computer Science, Faculty of Science, Queensland University of Technology (QUT), Organization, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Faculty of Science, Queensland University of Technology (QUT), Organization, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5065051130"],"corresponding_institution_ids":["https://openalex.org/I160993911"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":3.2067,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92251161,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"35","issue":"34","first_page":"24493","last_page":"24511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9693999886512756,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8821256160736084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6998941898345947},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.5892953872680664},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.49031952023506165},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48909813165664673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.480507493019104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44750887155532837},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.443517804145813},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4133804738521576},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3422412872314453}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8821256160736084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6998941898345947},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.5892953872680664},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.49031952023506165},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48909813165664673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.480507493019104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44750887155532837},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.443517804145813},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4133804738521576},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3422412872314453}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-023-09052-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-09052-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-09052-4.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00521-023-09052-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-09052-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-09052-4.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320983","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387309424.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1902027874","https://openalex.org/W2013029404","https://openalex.org/W2023655578","https://openalex.org/W2033403400","https://openalex.org/W2061559370","https://openalex.org/W2063049279","https://openalex.org/W2088162437","https://openalex.org/W2124536061","https://openalex.org/W2135827982","https://openalex.org/W2148606196","https://openalex.org/W2165515835","https://openalex.org/W2411855254","https://openalex.org/W2580767461","https://openalex.org/W2751971141","https://openalex.org/W2768206144","https://openalex.org/W2788730644","https://openalex.org/W2807842333","https://openalex.org/W2808466528","https://openalex.org/W2884851420","https://openalex.org/W2905284068","https://openalex.org/W2917089304","https://openalex.org/W2920331395","https://openalex.org/W2963168676","https://openalex.org/W2963224980","https://openalex.org/W2972209102","https://openalex.org/W2990908872","https://openalex.org/W3004946360","https://openalex.org/W3045237327","https://openalex.org/W3080627911","https://openalex.org/W3099975269","https://openalex.org/W3101709902","https://openalex.org/W3106006733","https://openalex.org/W3123348193","https://openalex.org/W3126625348","https://openalex.org/W3163399473","https://openalex.org/W3164338400","https://openalex.org/W3165608758","https://openalex.org/W3193661436","https://openalex.org/W3193704170","https://openalex.org/W3194841521","https://openalex.org/W3202998373","https://openalex.org/W3205581618","https://openalex.org/W4200397946","https://openalex.org/W4206965490","https://openalex.org/W4229023649","https://openalex.org/W4283811563","https://openalex.org/W4360584499"],"related_works":["https://openalex.org/W1999117613","https://openalex.org/W2040929534","https://openalex.org/W3022637481","https://openalex.org/W2393816671","https://openalex.org/W3120229345","https://openalex.org/W2111119584","https://openalex.org/W3144143113","https://openalex.org/W3039964395","https://openalex.org/W2804957450","https://openalex.org/W2357208913"],"abstract_inverted_index":{"Abstract":[0],"Attributed":[1,86],"graph":[2,13,23,95,178,221],"clustering,":[3],"the":[4,45,50,131,162],"task":[5],"of":[6,47,133,165],"grouping":[7],"nodes":[8],"into":[9],"communities":[10],"using":[11,66],"both":[12],"structure":[14,137],"and":[15,63,65,108,112,127,138,152,167,184,205],"node":[16,32],"attributes,":[17],"is":[18,145,158],"a":[19,81,117,153,173],"fundamental":[20],"problem":[21],"in":[22],"analysis.":[24],"Recent":[25],"approaches":[26,68],"have":[27],"utilized":[28],"deep":[29,101,154,188],"learning":[30],"for":[31,58,73,93,176,218],"embedding":[33,166],"followed":[34],"by":[35,147,180],"conventional":[36],"clustering":[37,59,102,156,179,189,222],"methods.":[38,201],"However,":[39],"these":[40,77],"methods":[41],"often":[42],"suffer":[43],"from":[44],"limitations":[46],"relying":[48],"on":[49,203],"original":[51],"network":[52,136],"structure,":[53],"which":[54],"may":[55],"be":[56],"inadequate":[57],"due":[60],"to":[61,160],"sparsity":[62],"noise,":[64],"separate":[67],"that":[69,104,123,209],"yield":[70],"suboptimal":[71],"embeddings":[72],"clustering.":[74,96,168],"To":[75],"address":[76],"limitations,":[78],"we":[79],"propose":[80],"novel":[82],"method":[83],"called":[84],"Deep":[85],"Clustering":[87],"with":[88,121],"High-order":[89],"Proximity":[90],"Preserve":[91],"(DAC-HPP)":[92],"attributed":[94,177,220],"DAC-HPP":[97,171,210],"leverages":[98],"an":[99,186],"end-to-end":[100,187],"framework":[103],"integrates":[105],"high-order":[106,139,182],"proximities":[107,183],"fosters":[109],"structural":[110,126],"cohesiveness":[111],"attribute":[113,128],"homogeneity.":[114],"We":[115],"introduce":[116],"modified":[118],"Random":[119],"Walk":[120],"Restart":[122],"captures":[124],"k-order":[125],"information,":[129],"enabling":[130],"modelling":[132],"interactions":[134],"between":[135],"proximities.":[140],"A":[141],"consensus":[142],"matrix":[143],"representation":[144],"constructed":[146],"combining":[148],"diverse":[149],"proximity":[150],"measures,":[151],"joint":[155],"approach":[157],"employed":[159],"leverage":[161],"complementary":[163],"strengths":[164],"In":[169],"summary,":[170],"offers":[172],"unique":[174],"solution":[175],"incorporating":[181],"employing":[185],"framework.":[190],"Extensive":[191],"experiments":[192],"demonstrate":[193],"its":[194,197,216],"effectiveness,":[195],"showcasing":[196],"superiority":[198],"over":[199],"existing":[200],"Evaluation":[202],"synthetic":[204],"real":[206],"networks":[207],"demonstrates":[208],"outperforms":[211],"seven":[212],"state-of-the-art":[213],"approaches,":[214],"confirming":[215],"potential":[217],"advancing":[219],"research.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}