{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T19:40:01Z","timestamp":1749757201649,"version":"3.41.0"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62172151","62202154","62441234"],"award-info":[{"award-number":["62172151","62202154","62441234"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Major Applied Basic Research Program of Hunan Province","award":["2023GK2003"],"award-info":[{"award-number":["2023GK2003"]}]},{"name":"Science and Technology Innovation Program of Hunan Province","award":["2024RC3076"],"award-info":[{"award-number":["2024RC3076"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput."],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1109\/tc.2025.3558587","type":"journal-article","created":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T17:25:31Z","timestamp":1744133131000},"page":"2402-2416","source":"Crossref","is-referenced-by-count":0,"title":["BEAST-GNN: A United Bit Sparsity-Aware Accelerator for Graph Neural Networks"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6143-2315","authenticated-orcid":false,"given":"Yunzhen","family":"Luo","sequence":"first","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6956-9260","authenticated-orcid":false,"given":"Yan","family":"Ding","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9081-8153","authenticated-orcid":false,"given":"Zhuo","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5224-4048","authenticated-orcid":false,"given":"Keqin","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2635-7716","authenticated-orcid":false,"given":"Kenli","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2372-6715","authenticated-orcid":false,"given":"Chubo","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2020.03.002"},{"key":"ref2","first-page":"382","article-title":"Bit-pragmatic deep neural network computing","volume-title":"Proc. 50th Annu. IEEE\/ACM Int. Symp. Microarchit.","author":"Albericio","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.10.021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/qjmam\/4.2.236"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/498"},{"year":"2025","key":"ref6","article-title":"Synopsys Design Compiler."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1049\/ep.1986.0096"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI50040.2020.00198"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148187"},{"article-title":"Fast graph representation learning with pytorch geometric","year":"2019","author":"Fey","key":"ref10"},{"key":"ref11","article-title":"Free PDK 45 nm open-access based PDK for the 45 nm technology node."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCS56666.2022.9936588"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO50266.2020.00079"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3466752.3480113"},{"key":"ref15","first-page":"1024","article-title":"Inductive representation learning on large graphs","volume":"30","author":"Hamilton","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2022.3211413"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3329872"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2014.6757323"},{"key":"ref19","first-page":"22118","article-title":"Open graph benchmark: Datasets for machine learning on graphs","volume":"33","author":"Hu","year":"2020","journal-title":"Proc. Adv. Neural Inf. Process. Systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.06.097"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA56546.2023.10070983"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1137\/s1064827595287997"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2022.3197083"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA51647.2021.00070"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357951"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.3014632"},{"key":"ref27","article-title":"Cacti 6.0: A tool to model large caches","volume":"27","author":"Muralimanohar","year":"2009","journal-title":"HP Lab."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3140659.3080254"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-72079-9_10"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.556"},{"key":"ref31","first-page":"304","article-title":"Laconic deep learning inference acceleration","volume-title":"Proc. 46th Int. Symp. Comput. Archit.","author":"Sharify","year":"2019"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1987.1169696"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO50266.2020.00068"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2023.3324477"},{"article-title":"Degree-quant: Quantization-aware training for graph neural networks","year":"2020","author":"Tailor","key":"ref35"},{"article-title":"Graph attention networks","year":"2017","author":"Veli\u010dkovi\u0107","key":"ref36"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614955"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3221821"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA47549.2020.00012"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA56546.2023.10071102"},{"article-title":"Graphsaint: Graph sampling based inductive learning method","year":"2019","author":"Zeng","key":"ref42"},{"article-title":"Incremental network quantization: Towards lossless cnns with low-precision weights","year":"2017","author":"Zhou","key":"ref43"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA57654.2024.00020"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3150155"}],"container-title":["IEEE Transactions on Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/12\/11030070\/10955485.pdf?arnumber=10955485","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T19:24:43Z","timestamp":1749756283000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10955485\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7]]},"references-count":45,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tc.2025.3558587","relation":{},"ISSN":["0018-9340","1557-9956","2326-3814"],"issn-type":[{"type":"print","value":"0018-9340"},{"type":"electronic","value":"1557-9956"},{"type":"electronic","value":"2326-3814"}],"subject":[],"published":{"date-parts":[[2025,7]]}}}