{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T05:56:14Z","timestamp":1766642174632,"version":"3.48.0"},"reference-count":60,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,11,18]]},"DOI":"10.1109\/brains67003.2025.11302952","type":"proceedings-article","created":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T18:43:25Z","timestamp":1766601805000},"page":"1-9","source":"Crossref","is-referenced-by-count":0,"title":["DAGWise++: GNN-Based Adaptive Optimization for DAG-BFT Consensus"],"prefix":"10.1109","author":[{"given":"Nour","family":"Diallo","sequence":"first","affiliation":[{"name":"University of Houston,Department of Computer Science,TX,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Xu","sequence":"additional","affiliation":[{"name":"Kent State University,Department of Mathematical Sciences,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Lu","sequence":"additional","affiliation":[{"name":"University of Houston,Department of Computer Science,TX,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dana R.","family":"Alsagheer","sequence":"additional","affiliation":[{"name":"University of Houston,Department of Computer Science,TX,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weidong Larry","family":"Shi","sequence":"additional","affiliation":[{"name":"University of Houston,Department of Computer Science,TX,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3492321.3519594"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3548606.3559361"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS57955.2024.00093"},{"issue":"1999","key":"ref4","first-page":"173","article-title":"Practical byzantine fault tolerance","volume":"99","author":"Castro","year":"1999","journal-title":"OsDI"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3293611.3331591"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2019.00063"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978399"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3492321.3519594"},{"article-title":"Title of the wahoo paper","volume-title":"Proceedings of..., 2024, to be updated with correct details","author":"Name","key":"ref9"},{"key":"ref10","article-title":"Fastdag: Dag-based bft with learned commit paths","author":"Zhang","year":"2024","journal-title":"NSDI"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICBC64466.2025.11114520"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1294261.1294267"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1755913.1755950"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3318041.3355467"},{"article-title":"Diembftv4","year":"2023","author":"Team","key":"ref15"},{"key":"ref16","article-title":"Mir-bft: Highthroughput BFT for blockchains","volume":"abs\/1906.05552","author":"Stathakopoulou","year":"2019","journal-title":"CoRR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3465084.3467905"},{"key":"ref18","article-title":"Cuttlefish: Expressive fast path blockchains with fastunlock","author":"Kokoris-Kogias","year":"2023","journal-title":"arXiv preprint, vol. arXiv:2309.12715"},{"article-title":"Tendermint: Byzantine fault tolerance in the age of blockchains","year":"2016","author":"Buchman","key":"ref19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-47751-5_3"},{"author":"Spiegelman","key":"ref21","article-title":"Quorum store: How consensus horizontally scales on the aptos blockchain"},{"key":"ref22","article-title":"Maximal extractable value (mev) protection on a dag","author":"Malkhi","year":"2022","journal-title":"arXiv preprint, vol. arXiv:2208.00940"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/BRAINS63024.2024.10732472"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-41646-5_2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3636553"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3423364"},{"key":"ref27","article-title":"Shoal: Improving dag-bft latency and robustness","author":"Spiegelman","year":"2023","journal-title":"arXiv preprint arXiv:2306.03058"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/COINS51742.2021.9524210"},{"key":"ref29","article-title":"Graph neural networks for distributed control","author":"Gama","year":"2020","journal-title":"arXiv preprint arXiv:2004.12908"},{"key":"ref30","first-page":"7154","article-title":"Dag-gnn: Dag structure learning with graph neural networks","volume-title":"International conference on machine learning.","author":"Yu"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2006.35"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/42282.42283"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2168836.2168866"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2019.00063"},{"article-title":"In search for an optimal authenticated byzantine agreement","volume-title":"35th International Symposium on Distributed Computing","author":"Spiegelman","key":"ref35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3548606.3559361"},{"key":"ref37","first-page":"813","article-title":"Shoal++: High throughput dag bft can be fast and robust!","volume-title":"22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI). USENIX Association","author":"Arun"},{"journal-title":"Die.Net","article-title":"writev(3) - linux man page","year":"2024","key":"ref38"},{"key":"ref39","article-title":"Graph neural networks for distributed linearquadratic control","author":"Gama","year":"2021","journal-title":"arXiv preprint arXiv:2105.XXXX"},{"key":"ref40","article-title":"State machine replication in the libra blockchain","volume-title":"The Libra Assn., Tech. Rep","author":"Baudet","year":"2019"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3492321.3519579"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2014.43"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/0216031"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.14778\/3538598.3538599"},{"article-title":"Solana networks","year":"2020","author":"Team","key":"ref45"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3584684.3597265"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3465084.3467930"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/icdcs60910.2024.00129"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/1755913.1755950"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/BRAINS63024.2024.10732064"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/BRAINS63024.2024.10732845"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2020.09.002"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-45155-3_44"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.23919\/Eusipco47968.2020.9287610"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-024-09311-6"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2901563"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-88049-0_15"},{"journal-title":"Responsive Computing Systems","article-title":"A consensus-based framework and model for the design of responsive computing systems","year":"1994","key":"ref58"},{"author":"Gama","key":"ref59","article-title":"Graph neural networks for distributed linearquadratic control"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3589132.3625630"}],"event":{"name":"2025 7th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)","start":{"date-parts":[[2025,11,18]]},"location":"Zurich, Switzerland","end":{"date-parts":[[2025,11,21]]}},"container-title":["2025 7th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11302407\/11302901\/11302952.pdf?arnumber=11302952","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T05:53:14Z","timestamp":1766641994000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11302952\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,18]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/brains67003.2025.11302952","relation":{},"subject":[],"published":{"date-parts":[[2025,11,18]]}}}