{"id":"https://openalex.org/W7117648696","doi":"https://doi.org/10.1109/wincom65874.2025.11313451","title":"From Structure to Strength: A Deep Learning Approach to Edge Weighting in Graph-Based Community Detection","display_name":"From Structure to Strength: A Deep Learning Approach to Edge Weighting in Graph-Based Community Detection","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W7117648696","doi":"https://doi.org/10.1109/wincom65874.2025.11313451"},"language":null,"primary_location":{"id":"doi:10.1109/wincom65874.2025.11313451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom65874.2025.11313451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121667729","display_name":"El Ouatiq Meriem","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125507","display_name":"Chouaib Doukkali University","ror":"https://ror.org/036kgyt43","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210125507"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"El Ouatiq Meriem","raw_affiliation_strings":["University of Choua&#x00EF;b Doukkali,LAROSERI Laboratory, Faculty of Sciences,Computer Science Department,EL Jadida,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Choua&#x00EF;b Doukkali,LAROSERI Laboratory, Faculty of Sciences,Computer Science Department,EL Jadida,Morocco","institution_ids":["https://openalex.org/I4210125507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030131182","display_name":"Ait abdelouahad Abdelkaher","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125507","display_name":"Chouaib Doukkali University","ror":"https://ror.org/036kgyt43","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210125507"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Ait Abdelouahad Abdelkaher","raw_affiliation_strings":["University of Choua&#x00EF;b Doukkali,LAROSERI Laboratory, Faculty of Sciences,Computer Science Department,EL Jadida,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Choua&#x00EF;b Doukkali,LAROSERI Laboratory, Faculty of Sciences,Computer Science Department,EL Jadida,Morocco","institution_ids":["https://openalex.org/I4210125507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024044268","display_name":"Abdellatif Dahmouni","orcid":"https://orcid.org/0000-0002-1636-439X"},"institutions":[{"id":"https://openalex.org/I4210125507","display_name":"Chouaib Doukkali University","ror":"https://ror.org/036kgyt43","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210125507"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Dahmouni Abdellatif","raw_affiliation_strings":["University of Choua&#x00EF;b Doukkali,LAROSERI Laboratory, Faculty of Sciences,Computer Science Department,EL Jadida,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Choua&#x00EF;b Doukkali,LAROSERI Laboratory, Faculty of Sciences,Computer Science Department,EL Jadida,Morocco","institution_ids":["https://openalex.org/I4210125507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210125507"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.5012000203132629,"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":0.5012000203132629,"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":0.4616999924182892,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.00570000009611249,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7560999989509583},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6495000123977661},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5303000211715698},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.5223000049591064},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5188999772071838},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5037999749183655},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5026999711990356},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4542999863624573},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4205999970436096}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7560999989509583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6679999828338623},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6495000123977661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6274999976158142},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5303000211715698},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.5223000049591064},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5188999772071838},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5037999749183655},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5026999711990356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4542999863624573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43950000405311584},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4205999970436096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3928999900817871},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.313400000333786},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2709999978542328},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25999999046325684},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C70136482","wikidata":"https://www.wikidata.org/wiki/Q13583781","display_name":"A-weighting","level":3,"score":0.25839999318122864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wincom65874.2025.11313451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom65874.2025.11313451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W950821216","https://openalex.org/W1971421925","https://openalex.org/W2007444087","https://openalex.org/W2023655578","https://openalex.org/W2095293504","https://openalex.org/W2100495367","https://openalex.org/W2120043163","https://openalex.org/W2127048411","https://openalex.org/W2131681506","https://openalex.org/W2132914434","https://openalex.org/W2148606196","https://openalex.org/W2154454189","https://openalex.org/W2163480486","https://openalex.org/W4232932184","https://openalex.org/W4386886442"],"related_works":[],"abstract_inverted_index":{"Complex":[0],"networks":[1],"analysis":[2],"requires":[3],"a":[4,90,127,140,178],"full":[5],"comprehension":[6],"of":[7,28,44,48,71,75,80,93,116,129,148,207],"the":[8,11,35,42,45,49,69,76,83,107,117,120,149,164,174,193],"interconnection":[9],"between":[10,82],"nodes":[12,29,118],"and":[13,192],"how":[14],"these":[15,205],"interconnections":[16],"give":[17,173],"rise":[18],"to":[19,53,67,111,145,163,182],"community":[20,179],"structures.":[21],"This":[22],"is":[23,104],"done":[24],"by":[25],"finding":[26],"clusters":[27],"that":[30,154,169,198],"are":[31,123],"well":[32],"connected":[33,40],"within":[34],"cluster":[36],"but":[37],"relatively":[38],"poorly":[39],"with":[41],"rest":[43],"network.":[46],"Out":[47],"many":[50],"methods":[51],"conceived":[52],"make":[54],"this":[55,86,142],"task":[56,181],"easier,":[57],"edge":[58,94],"weighting":[59,95,185],"has":[60],"become":[61],"an":[62,134],"indispensable":[63],"tool,":[64],"allowing":[65],"one":[66],"quantify":[68],"strength":[70],"connection":[72],"in":[73,119,177,204],"terms":[74],"importance":[77],"or":[78],"level":[79],"interaction":[81],"nodes.":[84],"In":[85],"work,":[87],"we":[88,167],"propose":[89],"new":[91],"mechanism":[92],"based":[96],"on":[97],"representation":[98],"learning":[99],"using":[100,106,133],"autoencoders.":[101],"The":[102],"model":[103],"trained":[105],"network's":[108],"adjacency":[109],"matrix":[110],"learn":[112],"latent":[113],"structural":[114,152],"aspects":[115],"network,":[121],"which":[122],"then":[124],"used":[125],"as":[126,188],"basis":[128],"calculating":[130],"pairwise":[131],"similarities":[132],"amplified":[135],"Gaussian":[136],"similarity":[137],"function.":[138],"As":[139],"methodology,":[141],"allows":[143],"us":[144],"capture":[146],"some":[147],"more":[150],"subtle":[151],"patterns":[153],"cannot":[155],"be":[156],"identified":[157],"through":[158],"traditional":[159],"local":[160],"heuristics.":[161],"Due":[162],"experimental":[165],"results,":[166],"show":[168],"our":[170],"method":[171],"can":[172],"same":[175],"performance":[176],"detection":[180],"popular":[183],"similarity-based":[184],"strategies":[186],"such":[187],"Jaccard,":[189],"cosine":[190],"similarity,":[191],"Adamic-Adar":[194],"index,":[195],"thus":[196],"proving":[197],"learned":[199],"representations":[200],"may":[201],"find":[202],"success":[203],"kinds":[206],"collaborations.":[208]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-12-31T00:00:00"}
