{"id":"https://openalex.org/W7117158101","doi":"https://doi.org/10.1145/3773276.3774294","title":"BullyHCL: Unsupervised Heterogeneous Graph Contrastive Learning Framework for Session-based Cyberbullying Detection","display_name":"BullyHCL: Unsupervised Heterogeneous Graph Contrastive Learning Framework for Session-based Cyberbullying Detection","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7117158101","doi":"https://doi.org/10.1145/3773276.3774294"},"language":null,"primary_location":{"id":"doi:10.1145/3773276.3774294","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773276.3774294","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE/ACM 12th International Conference on Big Data Computing, Applications and Technologies","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3773276.3774294","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118648566","display_name":"Munkhbuyan Buyankhishig","orcid":null},"institutions":[{"id":"https://openalex.org/I144917393","display_name":"Mongolian University of Science and Technology","ror":"https://ror.org/02shmve39","country_code":"MN","type":"education","lineage":["https://openalex.org/I144917393"]}],"countries":["MN"],"is_corresponding":false,"raw_author_name":"Munkhbuyan Buyankhishig","raw_affiliation_strings":["Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan and School of Information and Communication Technology, Mongolian University of Science and Technology, Ulaanbaatar, Mongolia"],"raw_orcid":"https://orcid.org/0009-0009-7020-0837","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan and School of Information and Communication Technology, Mongolian University of Science and Technology, Ulaanbaatar, Mongolia","institution_ids":["https://openalex.org/I144917393"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072069428","display_name":"Thanda Shwe","orcid":"https://orcid.org/0000-0002-8052-2321"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thanda Shwe","raw_affiliation_strings":["Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8052-2321","affiliations":[{"raw_affiliation_string":"Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018027076","display_name":"Israel Mendon\u00e7a","orcid":"https://orcid.org/0000-0001-6819-4305"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Israel Mendon\u00e7a","raw_affiliation_strings":["Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan"],"raw_orcid":"https://orcid.org/0000-0001-6819-4305","affiliations":[{"raw_affiliation_string":"Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010583900","display_name":"Masayoshi Aritsugi","orcid":"https://orcid.org/0000-0003-0861-849X"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayoshi Aritsugi","raw_affiliation_strings":["Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0861-849X","affiliations":[{"raw_affiliation_string":"Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9038000106811523,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9038000106811523,"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/T10485","display_name":"Bullying, Victimization, and Aggression","score":0.057500001043081284,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.004900000058114529,"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/discriminator","display_name":"Discriminator","score":0.6786999702453613},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6322000026702881},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.48559999465942383},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4300999939441681},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.426800012588501},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.41510000824928284},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.32409998774528503},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.32350000739097595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7811999917030334},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6786999702453613},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6322000026702881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5834000110626221},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5098999738693237},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.48559999465942383},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4300999939441681},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.426800012588501},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.41510000824928284},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35839998722076416},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.32409998774528503},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.3212999999523163},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.27300000190734863},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.25769999623298645},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3773276.3774294","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773276.3774294","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE/ACM 12th International Conference on Big Data Computing, Applications and Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3773276.3774294","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773276.3774294","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE/ACM 12th International Conference on Big Data Computing, Applications and Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7851833701133728,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2068511562","https://openalex.org/W2216854803","https://openalex.org/W2242082950","https://openalex.org/W2282644932","https://openalex.org/W2527053096","https://openalex.org/W2604314403","https://openalex.org/W2609528491","https://openalex.org/W2966675293","https://openalex.org/W3002553481","https://openalex.org/W3093990443","https://openalex.org/W3095746859","https://openalex.org/W3100038031","https://openalex.org/W3119634122","https://openalex.org/W3185909895","https://openalex.org/W3186778784","https://openalex.org/W4230870088","https://openalex.org/W4312929804","https://openalex.org/W4388845525","https://openalex.org/W4390266861","https://openalex.org/W4411687860"],"related_works":[],"abstract_inverted_index":{"Session-based":[0],"cyberbullying":[1,49,125],"detection":[2],"on":[3,129],"social":[4,23],"media":[5,24],"platforms":[6],"presents":[7],"significant":[8],"challenges":[9],"owing":[10],"to":[11,63,91,109,151],"the":[12,18,65,74,89,96,103,130,133,138],"scarcity":[13],"of":[14,22,113,153],"labeled":[15],"data":[16],"and":[17,26,70,99,116,132,146],"complex,":[19],"heterogeneous":[20,40],"nature":[21],"sessions":[25],"interactions":[27],"between":[28,68],"their":[29],"elements.":[30],"In":[31],"this":[32],"study,":[33],"we":[34],"introduce":[35],"BullyHCL,":[36],"an":[37],"innovative":[38],"unsupervised":[39,124,144],"graph":[41,76,105],"contrastive":[42,54],"learning":[43,55],"framework":[44,52],"specifically":[45],"designed":[46],"for":[47,80],"session-based":[48],"detection.":[50,126],"This":[51,86],"utilizes":[53],"by":[56],"training":[57],"a":[58,161],"discriminator":[59],"with":[60],"binary":[61],"cross-entropy":[62],"maximize":[64],"mutual":[66],"information":[67,101],"node":[69],"summary":[71],"pairs":[72,82],"from":[73,83,102],"original":[75,104],"while":[77,106],"minimizing":[78],"it":[79],"perturbed":[81],"augmented":[84],"views.":[85],"approach":[87],"encourages":[88],"encoder":[90],"learn":[92],"representations":[93],"that":[94,137],"capture":[95],"essential":[97],"structural":[98],"semantic":[100],"being":[107],"robust":[108],"perturbations.":[110],"An":[111],"analysis":[112],"augmentation":[114],"strategies":[115],"model":[117,140],"parameters":[118],"provides":[119],"valuable":[120],"insights":[121],"into":[122],"improving":[123],"Experiments":[127],"conducted":[128],"Instagram":[131],"Vine":[134],"datasets":[135],"reveal":[136],"BullyHCL":[139],"consistently":[141],"surpasses":[142],"existing":[143],"baselines":[145],"achieves":[147],"performance":[148],"levels":[149],"comparable":[150],"those":[152],"supervised":[154],"models,":[155],"underscoring":[156],"its":[157],"practical":[158],"value":[159],"as":[160],"label-free":[162],"alternative.":[163]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-12-24T00:00:00"}