{"id":"https://openalex.org/W7117120964","doi":"https://doi.org/10.1109/brains67003.2025.11302952","title":"DAGWise++: GNN-Based Adaptive Optimization for DAG-BFT Consensus","display_name":"DAGWise++: GNN-Based Adaptive Optimization for DAG-BFT Consensus","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7117120964","doi":"https://doi.org/10.1109/brains67003.2025.11302952"},"language":null,"primary_location":{"id":"doi:10.1109/brains67003.2025.11302952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/brains67003.2025.11302952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 7th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)","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/A5059029601","display_name":"Nour Diallo","orcid":"https://orcid.org/0009-0001-7762-3981"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nour Diallo","raw_affiliation_strings":["University of Houston,Department of Computer Science,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Department of Computer Science,TX,USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121135258","display_name":"Lei Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Xu","raw_affiliation_strings":["Kent State University,Department of Mathematical Sciences,OH,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kent State University,Department of Mathematical Sciences,OH,USA","institution_ids":["https://openalex.org/I149910238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121196778","display_name":"Yang Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Lu","raw_affiliation_strings":["University of Houston,Department of Computer Science,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Department of Computer Science,TX,USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082291404","display_name":"Dana Alsagheer","orcid":"https://orcid.org/0009-0005-9045-6347"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dana R. Alsagheer","raw_affiliation_strings":["University of Houston,Department of Computer Science,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Department of Computer Science,TX,USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121151486","display_name":"Weidong Larry Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weidong Larry Shi","raw_affiliation_strings":["University of Houston,Department of Computer Science,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Department of Computer Science,TX,USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53320704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.37119999527931213,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.37119999527931213,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.2529999911785126,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.04500000178813934,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/robustness","display_name":"Robustness (evolution)","score":0.5898000001907349},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5605999827384949},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.4765999913215637},{"id":"https://openalex.org/keywords/validator","display_name":"Validator","score":0.45590001344680786},{"id":"https://openalex.org/keywords/commit","display_name":"Commit","score":0.42719998955726624},{"id":"https://openalex.org/keywords/byzantine-fault-tolerance","display_name":"Byzantine fault tolerance","score":0.3926999866962433},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.36480000615119934},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.3549000024795532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7998999953269958},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6367999911308289},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5898000001907349},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5605999827384949},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.4765999913215637},{"id":"https://openalex.org/C35292069","wikidata":"https://www.wikidata.org/wiki/Q1575458","display_name":"Validator","level":2,"score":0.45590001344680786},{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.42719998955726624},{"id":"https://openalex.org/C168021876","wikidata":"https://www.wikidata.org/wiki/Q1353446","display_name":"Byzantine fault tolerance","level":3,"score":0.3926999866962433},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.36480000615119934},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3490999937057495},{"id":"https://openalex.org/C164155591","wikidata":"https://www.wikidata.org/wiki/Q2067766","display_name":"Satisfiability modulo theories","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C2775896111","wikidata":"https://www.wikidata.org/wiki/Q642560","display_name":"Router","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C107107730","wikidata":"https://www.wikidata.org/wiki/Q2994424","display_name":"Consensus","level":3,"score":0.28459998965263367},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C15569618","wikidata":"https://www.wikidata.org/wiki/Q3561421","display_name":"Liveness","level":2,"score":0.25110000371932983},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/brains67003.2025.11302952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/brains67003.2025.11302952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 7th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)","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":36,"referenced_works":["https://openalex.org/W186410745","https://openalex.org/W1965159636","https://openalex.org/W1983536842","https://openalex.org/W1989850654","https://openalex.org/W2003214215","https://openalex.org/W2058322902","https://openalex.org/W2110880385","https://openalex.org/W2139359217","https://openalex.org/W2519953130","https://openalex.org/W2534313446","https://openalex.org/W2926422816","https://openalex.org/W2964159515","https://openalex.org/W2969395421","https://openalex.org/W2981692198","https://openalex.org/W3085361342","https://openalex.org/W3106855293","https://openalex.org/W3115702440","https://openalex.org/W3132204264","https://openalex.org/W3185672164","https://openalex.org/W3198650560","https://openalex.org/W4220853208","https://openalex.org/W4220883364","https://openalex.org/W4288057691","https://openalex.org/W4308391463","https://openalex.org/W4381382162","https://openalex.org/W4388646129","https://openalex.org/W4389175230","https://openalex.org/W4389509728","https://openalex.org/W4390100457","https://openalex.org/W4391882706","https://openalex.org/W4400410072","https://openalex.org/W4401752548","https://openalex.org/W4404180354","https://openalex.org/W4404180557","https://openalex.org/W4404180563","https://openalex.org/W7084035417"],"related_works":[],"abstract_inverted_index":{"DAG-based":[0],"Byzantine":[1],"Fault":[2],"Tolerant":[3],"(DAG-BFT)":[4],"protocols":[5,70],"achieve":[6],"high":[7],"throughput":[8,138],"by":[9],"decoupling":[10],"data":[11],"dissemination":[12],"from":[13],"consensus.":[14],"However,":[15],"their":[16],"performance":[17],"often":[18],"degrades":[19],"under":[20,53],"dynamic":[21],"conditions":[22],"due":[23],"to":[24,96,123,128,140],"statically":[25],"tuned":[26],"control":[27],"parameters.":[28],"Most":[29],"DAG-BFT":[30,69,143,165],"protocols,":[31,144],"including":[32,100,145],"Narwhal,":[33],"Bullshark,":[34,147],"and":[35,47,107,134,148,161],"Shoal++,":[36,146],"rely":[37],"on":[38,90,118],"fixed":[39],"parameters":[40,75,99],"such":[41],"as":[42],"batching":[43,101],"interval,":[44],"quorum":[45,103],"threshold,":[46],"anchor":[48,105],"selection,":[49],"which":[50],"perform":[51],"poorly":[52],"network":[54],"asynchrony,":[55],"validator":[56],"churn,":[57],"or":[58],"adversarial":[59],"conditions.":[60],"We":[61],"present":[62],"DAGWise++,":[63],"a":[64],"GNN-based":[65,154],"prediction":[66,156],"module":[67],"for":[68],"that":[71,153],"replaces":[72],"these":[73],"static":[74],"with":[76,121],"lightweight,":[77],"per-round":[78,92],"predictions.":[79],"DAGWise++":[80],"integrates":[81],"four":[82],"Graph":[83],"Neural":[84],"Network":[85],"(GNN)":[86],"heads,":[87],"each":[88],"operating":[89],"validator-local,":[91],"certified":[93],"DAG":[94],"snapshots,":[95],"infer":[97],"runtime":[98],"delays,":[102],"thresholds,":[104],"sets,":[106],"commit":[108],"scores,":[109],"all":[110],"without":[111],"modifying":[112],"the":[113,141,159],"underlying":[114],"consensus":[115,132],"logic.":[116],"Evaluations":[117],"geo-distributed":[119],"clusters":[120],"up":[122,127],"128":[124],"validators":[125],"show":[126],"$2":[129],"\\times$":[130,136],"lower":[131],"latency":[133],"$1.5":[135],"higher":[137],"compared":[139],"latest":[142],"Mysticeti.":[149],"These":[150],"results":[151],"suggest":[152],"adaptive":[155],"can":[157],"improve":[158],"robustness":[160],"responsiveness":[162],"of":[163],"modern":[164],"systems.":[166]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-12-24T00:00:00"}