{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T16:20:47Z","timestamp":1774628447790,"version":"3.50.1"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"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":[[2024,10,27]]},"DOI":"10.1109\/ieeeconf60004.2024.10943014","type":"proceedings-article","created":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T18:20:20Z","timestamp":1743790820000},"page":"423-427","source":"Crossref","is-referenced-by-count":4,"title":["Convolutional Learning on Directed Acyclic Graphs"],"prefix":"10.1109","author":[{"given":"Samuel","family":"Rey","sequence":"first","affiliation":[{"name":"Rey Juan Carlos University,Dept. of Signal Theory and Communications,Madrid,Spain"}]},{"given":"Hamed","family":"Ajorlou","sequence":"additional","affiliation":[{"name":"University of Rochester,Dept. of Electrical and Computer Engineering,NY,USA"}]},{"given":"Gonzalo","family":"Mateos","sequence":"additional","affiliation":[{"name":"University of Rochester,Dept. of Electrical and Computer Engineering,NY,USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2820126"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3014591"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CAMSAP45676.2019.9022676"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF53345.2021.9723282"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1609.02907"},{"key":"ref8","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018","journal-title":"arXiv preprint"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3055400"},{"key":"ref10","article-title":"Graph attention networks","volume-title":"Intl. Conf. Learn. Repr. (ICLR)","author":"Velickovic","year":"2018"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132967"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.23919\/Eusipco47968.2020.9287748"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461875"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2018.8439888"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3014597"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3324988"},{"key":"ref17","volume-title":"Elements of Causal Inference: Foundations and Learning Algorithms","author":"Peters","year":"2017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/ast043"},{"key":"ref19","article-title":"DAGs with no tears: Continuous optimization for structure learning","volume":"31","author":"Zheng","year":"2018","journal-title":"Advances Neural Inf. Process. Syst."},{"key":"ref20","article-title":"Multiscale causal structure learning","author":"D\u2019Acunto","year":"2023","journal-title":"Trans. Mach. Learning Res."},{"key":"ref21","article-title":"CoLiDE: Concomitant linear DAG estimation","volume-title":"Intl. Conf. Learn. Repr. (ICLR)","author":"Saboksayr","year":"2024"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3212695"},{"key":"ref23","article-title":"Graph hypernetworks for neural architecture search","author":"Zhang","year":"2018","journal-title":"arXiv preprint"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3081036"},{"key":"ref25","article-title":"D-VAE: A variational autoencoder for directed acyclic graphs","volume-title":"Advances Neural Inf. Process. Syst.","volume":"32","author":"Zhang","year":"2019"},{"key":"ref26","article-title":"Directed acyclic graph neural networks","volume-title":"Intl. Conf. Learn. Repr. (ICLR)","author":"Thost","year":"2021"},{"key":"ref27","first-page":"47764","article-title":"Transformers over directed acyclic graphs","volume-title":"Advances Neural Inf. Process. Syst.","volume":"36","author":"Luo","year":"2023"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2703660"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/0304-3975(77)90056-1"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/BF00531932"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3223552"},{"key":"ref32","article-title":"Inductive representation learning on large graphs","volume":"30","author":"Hamilton","year":"2017","journal-title":"Advances Neural Inf. Process. Syst."}],"event":{"name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","location":"Pacific Grove, CA, USA","start":{"date-parts":[[2024,10,27]]},"end":{"date-parts":[[2024,10,30]]}},"container-title":["2024 58th Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10942562\/10942606\/10943014.pdf?arnumber=10943014","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T11:19:34Z","timestamp":1743851974000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10943014\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,27]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf60004.2024.10943014","relation":{},"subject":[],"published":{"date-parts":[[2024,10,27]]}}}