{"id":"https://openalex.org/W7152617813","doi":"https://doi.org/10.1109/access.2026.3682603","title":"LogHyper-IB: Spatio-Temporal Hypergraph Representation Learning via Information Bottleneck for Anomaly Detection in Distributed Systems","display_name":"LogHyper-IB: Spatio-Temporal Hypergraph Representation Learning via Information Bottleneck for Anomaly Detection in Distributed Systems","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7152617813","doi":"https://doi.org/10.1109/access.2026.3682603"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3682603","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3682603","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3682603","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Vinayak Gupta","orcid":"https://orcid.org/0009-0007-6609-1207"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vinayak Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, ITS Engineering College, Greater Noida, India"],"raw_orcid":"https://orcid.org/0009-0007-6609-1207","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, ITS Engineering College, Greater Noida, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066605355","display_name":"Nitin Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nitin Jain","raw_affiliation_strings":["School of Computer Science and Engineering, Bennett University, Greater Noida, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Bennett University, Greater Noida, India","institution_ids":["https://openalex.org/I3129773123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133297994","display_name":"Aman Anand","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aman Anand","raw_affiliation_strings":["Department of Computer Science and Engineering, ITS Engineering College, Greater Noida, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, ITS Engineering College, Greater Noida, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101684067","display_name":"Dipika Jain","orcid":"https://orcid.org/0000-0002-7573-6851"},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dipika Jain","raw_affiliation_strings":["School of Computer Science and Engineering, Bennett University, Greater Noida, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Bennett University, Greater Noida, India","institution_ids":["https://openalex.org/I3129773123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056768928","display_name":"Mahendra Pratap Yadav","orcid":"https://orcid.org/0000-0003-4224-3142"},"institutions":[{"id":"https://openalex.org/I4210113821","display_name":"Indian Institute of Information Technology, Pune","ror":"https://ror.org/01f8qyw75","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210113821"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mahendra Pratap Yadav","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Information Technology (IIIT), Pune, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Information Technology (IIIT), Pune, India","institution_ids":["https://openalex.org/I4210113821"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005191668","display_name":"Yadvendra Pratap Singh","orcid":"https://orcid.org/0000-0001-6396-3355"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yadvendra Pratap Singh","raw_affiliation_strings":["School of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India"],"raw_orcid":"https://orcid.org/0000-0001-6396-3355","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India","institution_ids":["https://openalex.org/I73779912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73025495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"60629","last_page":"60645"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.4977000057697296,"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":0.4977000057697296,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.12290000170469284,"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":0.03440000116825104,"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":0.6916000247001648},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6384000182151794},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5699999928474426},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5250999927520752},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.510200023651123},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.4043999910354614},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.3725999891757965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696999907493591},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6916000247001648},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6384000182151794},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5699999928474426},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5250999927520752},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.510200023651123},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42100000381469727},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.4043999910354614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38830000162124634},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35359999537467957},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2700999975204468},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26019999384880066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.257999986410141}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3682603","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3682603","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5de5f793775045aca65a197132e65f3b","is_oa":true,"landing_page_url":"https://doaj.org/article/5de5f793775045aca65a197132e65f3b","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":"IEEE Access, Vol 14, Pp 60629-60645 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3682603","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3682603","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,72],"operational":[1],"integrity":[2],"of":[3,102,107],"High-Performance":[4],"Computing":[5],"(HPC)":[6],"architectures":[7],"like":[8],"BlueGene/L":[9],"is":[10],"increasingly":[11],"threatened":[12],"by":[13,39,84],"the":[14,61,93],"&#x201C;redundancy":[15],"problem&#x201D;,":[16],"where":[17],"critical":[18],"failure":[19],"signatures":[20],"are":[21],"submerged":[22],"beneath":[23],"ephemeral":[24],"telemetry.":[25],"This":[26],"study":[27],"introduces":[28],"LogHyper-IB,":[29],"a":[30,46,58,76,97,114,125],"bifurcated":[31],"architectural":[32],"innovation":[33],"that":[34],"displaces":[35],"traditional":[36],"sequential":[37],"paradigms":[38],"integrating":[40],"Hypergraph":[41],"Convolutional":[42],"Networks":[43],"(HGCN)":[44],"with":[45],"Variational":[47],"Information":[48],"Bottleneck":[49],"(VIB).":[50],"By":[51],"modeling":[52],"log":[53],"templates":[54],"as":[55],"nodes":[56],"within":[57],"hyper-relational":[59],"topology,":[60],"framework":[62],"captures":[63],"higher-order,":[64],"non-pairwise":[65],"dependencies":[66],"often":[67],"obscured":[68],"in":[69],"linear":[70],"time-series.":[71],"VIB":[73],"objective":[74],"enforces":[75],"rigorous":[77],"compression":[78],"constraint,":[79],"distilling":[80],"&#x201C;minimal":[81],"sufficient":[82],"statistics&#x201D;":[83],"filtering":[85],"out":[86],"uninformative":[87],"system":[88],"heartbeats.":[89],"Empirical":[90],"validation":[91],"on":[92],"BGL":[94],"dataset":[95],"yields":[96],"Matthews":[98],"Correlation":[99],"Coefficient":[100],"(MCC)":[101],"0.9888":[103],"and":[104,118],"an":[105],"F1-score":[106],"0.9899,":[108],"significantly":[109],"outperforming":[110],"legacy":[111],"models.":[112],"With":[113],"sub-50ms":[115],"inference":[116],"latency":[117],"robust":[119],"root-cause":[120],"localization":[121],"capabilities,":[122],"LogHyper-IB":[123],"establishes":[124],"new":[126],"performance":[127],"ceiling":[128],"for":[129],"automated,":[130],"real-time":[131],"supercomputing":[132],"diagnostics.":[133]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2026-04-10T00:00:00"}
