{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T16:08:19Z","timestamp":1780675699565,"version":"3.54.1"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"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":[[2021,11,1]]},"DOI":"10.1109\/iccad51958.2021.9643581","type":"proceedings-article","created":{"date-parts":[[2021,12,23]],"date-time":"2021-12-23T18:06:46Z","timestamp":1640282806000},"page":"1-8","source":"Crossref","is-referenced-by-count":37,"title":["Graph Learning-Based Arithmetic Block Identification"],"prefix":"10.1109","author":[{"given":"Zhuolun","family":"He","sequence":"first","affiliation":[{"name":"The Chinese University of Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziyi","family":"Wang","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Bai","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoyu","family":"Yang","sequence":"additional","affiliation":[{"name":"NVIDIA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bei","family":"Yu","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3240837"},{"key":"ref2","first-page":"1","article-title":"RevSCA: Using reverse engineering to bring light into backward rewriting for big and dirty multipliers","volume-title":"ACM\/IEEE Design Automation Conference (DAC)","author":"Wei","year":"2019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.7873\/DATE.2015.0746"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MDT.2010.7"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.31399\/asm.cp.istfa2016p0342"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317780"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2016.7538899"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/HST.2013.6581568"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/GLSV.1998.665284"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2006.881335"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2013.2294918"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.7873\/DATE.2013.264"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/FMCAD.2014.6987599"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3338508.3359575"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489382"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2019.8715251"},{"key":"ref17","first-page":"1024","article-title":"Inductive representation learning on large graphs","volume-title":"Annual Conference on Neural Information Processing Systems (NIPS)","author":"Hamilton","year":"2017"},{"key":"ref18","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018","journal-title":"arXiv preprint"},{"key":"ref19","article-title":"Spectral networks and locally connected networks on graphs","author":"Bruna","year":"2013","journal-title":"arXiv preprint"},{"key":"ref20","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"Defferrard","year":"2016","journal-title":"arXiv preprint"},{"key":"ref21","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016","journal-title":"arXiv preprint"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330961"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/358598.358613"},{"key":"ref25","article-title":"Directed acyclic graph neural networks","author":"Thost","year":"2021","journal-title":"arXiv preprint"},{"key":"ref26","article-title":"D-vae: A variational autoencoder for directed acyclic graphs","author":"Zhang","year":"2019","journal-title":"arXiv preprint"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3394885.3431625"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2451916.2451954"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TC.1982.1675982"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.07.011"},{"key":"ref31","article-title":"Decoupling representation and classifier for long-tailed recognition","author":"Kang","year":"2019","journal-title":"arXiv preprint"},{"issue":"3","key":"ref32","article-title":"Classification with class imbalance problem","volume":"5","author":"Ali","year":"2013","journal-title":"Int. J. Advance Soft Compu. Appl"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5555\/1642194.1642224"},{"key":"ref35","article-title":"Deep graph library: Towards efficient and scalable deep learning on graphs","author":"Wang","year":"2019","journal-title":"arXiv preprint"},{"key":"ref36","author":"Paszke","year":"2017","journal-title":"Automatic differentiation in pytorch"},{"key":"ref37","article-title":"Exploring network structure, dynamics, and function using NetworkX","author":"Hagberg","year":"2008","journal-title":"Los Alamos National Lab.(LANL), Los Alamos, NM (United States), Tech. Rep."},{"key":"ref38","article-title":"The EPFL logic synthesis libraries","author":"Soeken","year":"2018","journal-title":"arXiv preprint"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2020.2996616"},{"key":"ref40","article-title":"The rocket chip generator","author":"Asanovic","year":"2016","journal-title":"EECS Department, University of California, Berkeley, Tech. Rep. UCB\/EECS-2016\u201317"},{"key":"ref41","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2017","journal-title":"ar Xiv preprint"}],"event":{"name":"2021 IEEE\/ACM International Conference On Computer Aided Design (ICCAD)","location":"Munich, Germany","start":{"date-parts":[[2021,11,1]]},"end":{"date-parts":[[2021,11,4]]}},"container-title":["2021 IEEE\/ACM International Conference On Computer Aided Design (ICCAD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9643423\/9643432\/09643581.pdf?arnumber=9643581","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T19:48:25Z","timestamp":1705002505000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9643581\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,1]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/iccad51958.2021.9643581","relation":{},"subject":[],"published":{"date-parts":[[2021,11,1]]}}}