{"id":"https://openalex.org/W4391096606","doi":"https://doi.org/10.1109/bigdata59044.2023.10386107","title":"Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification","display_name":"Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391096606","doi":"https://doi.org/10.1109/bigdata59044.2023.10386107"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5057307805","display_name":"Lulwah Alkulaib","orcid":"https://orcid.org/0000-0001-9827-0882"},"institutions":[{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"education","lineage":["https://openalex.org/I36721946"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Lulwah Alkulaib","raw_affiliation_strings":["Kuwait University,Department of Computer Science,Kuwait","Department of Computer Science, Kuwait University, Kuwait"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuwait University,Department of Computer Science,Kuwait","institution_ids":["https://openalex.org/I36721946"]},{"raw_affiliation_string":"Department of Computer Science, Kuwait University, Kuwait","institution_ids":["https://openalex.org/I36721946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038002204","display_name":"Chang\u2010Tien Lu","orcid":"https://orcid.org/0000-0003-3675-0199"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang-Tien Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4356,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63233195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5140","last_page":"5145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9973999857902527,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9973999857902527,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9973000288009644,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.994700014591217,"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/hypergraph","display_name":"Hypergraph","score":0.8552639484405518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5741240382194519},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3376903235912323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2510877847671509},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1498851478099823}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8552639484405518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741240382194519},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3376903235912323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2510877847671509},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1498851478099823}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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":32,"referenced_works":["https://openalex.org/W728297","https://openalex.org/W1563938718","https://openalex.org/W1837843568","https://openalex.org/W1969568357","https://openalex.org/W2015452969","https://openalex.org/W2148143831","https://openalex.org/W2170057991","https://openalex.org/W2186482614","https://openalex.org/W2263846226","https://openalex.org/W2290302962","https://openalex.org/W2295598076","https://openalex.org/W2595521492","https://openalex.org/W2888571776","https://openalex.org/W2903362744","https://openalex.org/W2904740164","https://openalex.org/W2907352650","https://openalex.org/W2907492528","https://openalex.org/W2963469976","https://openalex.org/W2963806301","https://openalex.org/W2972410720","https://openalex.org/W2997788455","https://openalex.org/W3102083609","https://openalex.org/W3104355095","https://openalex.org/W3106311261","https://openalex.org/W3125182500","https://openalex.org/W3134509497","https://openalex.org/W3176405886","https://openalex.org/W3194397243","https://openalex.org/W4213147383","https://openalex.org/W4281489163","https://openalex.org/W4320024288","https://openalex.org/W6600017900"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998"],"abstract_inverted_index":{"With":[0],"the":[1,11,26,30,60,82,112,121,130,149,161],"proliferation":[2],"of":[3,32,63,98,151],"bots":[4,36],"on":[5,155],"social":[6],"media":[7],"platforms,":[8],"especially":[9],"X,":[10],"need":[12],"for":[13,55,93,107,164],"effective":[14],"and":[15,35,71,85,101],"efficient":[16],"bot":[17,108,118],"detection":[18],"mechanisms":[19],"has":[20],"never":[21],"been":[22],"more":[23,95],"paramount.":[24],"However,":[25],"inherent":[27],"imbalance":[28,114],"between":[29],"number":[31],"genuine":[33],"users":[34,68],"presents":[37],"a":[38,52,78,94,104,124],"significant":[39],"challenge,":[40],"often":[41],"leading":[42],"to":[43],"biased":[44],"classifiers.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,76],"introduce":[50],"HyperSMOTE,":[51],"novel":[53],"approach":[54],"imbalanced":[56],"node":[57],"classification":[58,156],"leveraging":[59],"rich":[61],"structure":[62],"hypergraphs.":[64],"By":[65],"representing":[66],"X":[67],"as":[69,74],"nodes":[70],"their":[72],"interactions":[73,86],"hyperedges,":[75],"construct":[77],"hypergraph":[79],"that":[80],"captures":[81],"intricate":[83],"relationships":[84],"among":[87],"users.":[88],"This":[89],"hypergraph-based":[90],"representation":[91],"allows":[92],"nuanced":[96],"understanding":[97],"user":[99],"behavior":[100],"interactions,":[102],"providing":[103,158],"robust":[105],"foundation":[106],"detection.":[109],"HyperSMOTE":[110],"addresses":[111],"class":[113],"by":[115],"generating":[116],"synthetic":[117],"accounts":[119],"in":[120],"hypergraph,":[122],"ensuring":[123],"balanced":[125],"training":[126],"dataset":[127],"while":[128],"preserving":[129],"hypergraph\u2019s":[131],"semantics.":[132],"Our":[133],"method":[134],"significantly":[135],"outperforms":[136],"existing":[137],"baselines":[138],"across":[139],"various":[140],"metrics,":[141],"demonstrating":[142],"its":[143],"efficacy.":[144],"We":[145],"further":[146],"delve":[147],"into":[148,160],"impact":[150],"different":[152],"upsampling":[153],"scales":[154],"performance,":[157],"insights":[159],"optimal":[162],"configurations":[163],"HyperSMOTE.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}