{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:34:26Z","timestamp":1763458466842,"version":"3.41.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"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":[[2025,3,31]]},"DOI":"10.23919\/date64628.2025.10992937","type":"proceedings-article","created":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T17:36:35Z","timestamp":1747848995000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["HiFi-SAGE: High Fidelity GraphSAGE-Based Latency Estimators for DNN Optimization"],"prefix":"10.23919","author":[{"given":"Shambhavi Balamuthu","family":"Sampath","sequence":"first","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]},{"given":"Leon","family":"Hecht","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]},{"given":"Moritz","family":"Thoma","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]},{"given":"Lukas","family":"Frickenstein","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]},{"given":"Pierpaolo","family":"Mori","sequence":"additional","affiliation":[{"name":"BMW Group,Munich,Germany"}]},{"given":"Nael","family":"Fasfous","sequence":"additional","affiliation":[{"name":"BMW Group,Munich,Germany"}]},{"given":"Manoj Rohit","family":"Vemparala","sequence":"additional","affiliation":[{"name":"BMW Group,Munich,Germany"}]},{"given":"Alexander","family":"Frickenstein","sequence":"additional","affiliation":[{"name":"BMW Group,Munich,Germany"}]},{"given":"Walter","family":"Stechele","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]},{"given":"Daniel","family":"Mueller-Gritschneder","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]},{"given":"Claudio","family":"Passerone","sequence":"additional","affiliation":[{"name":"Politecnico Di Torino,Turin,Italy"}]}],"member":"263","reference":[{"article-title":"Nas-bench-201: Extending the scope of re-producible neural architecture search","volume-title":"International Conference on Learning Representations (ICLR)","author":"Dong","key":"ref1"},{"journal-title":"NeurIPS WS, 2019","article-title":"Neural-hardware architecture search","author":"Lin","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_48"},{"journal-title":"Amazon ec2 dl2q instances","year":"2024","key":"ref4"},{"journal-title":"Nvidia tensorrt sdk","year":"2024","author":"Corporation","key":"ref5"},{"journal-title":"Onnx runtime","year":"2021","author":"Developers","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3568022"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.5b00559"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3458864.3467882"},{"key":"ref10","first-page":"10480","article-title":"Brp-nas: Prediction-based nas using gens","volume-title":"Advances in Neural Information Processing Systems","volume":"33","author":"Dudziak","year":"2020"},{"key":"ref11","article-title":"Hardware-adaptive efficient latency prediction for NAS via meta-learning","author":"Lee","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"journal-title":"Multi-predict: few shot predictors for efficient neural architecture search","year":"2023","author":"Akhauri","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01099"},{"article-title":"{HW} - {nas} -bench: Hardware-aware neural architecture search benchmark","volume-title":"International Conference on Learning Representations","author":"Li","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00410"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-6054-2"},{"article-title":"Learnable commutative monoids for graph neural networks","volume-title":"The First Learning on Graphs Conference","author":"Ong","key":"ref17"},{"key":"ref18","article-title":"Graph neural networks with adaptive readouts","author":"Buterez","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref19","article-title":"Inductive representation learning on large graphs","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Hamilton","year":"2017"},{"article-title":"Fast graph representation learning with PyTorch Geometric","volume-title":"ICLR Workshop on Representation Learning on Graphs and Manifolds, 2019","author":"Fey","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.25080\/TCWV9851"},{"journal-title":"Graph neural networks with learnable structural and positional representations","year":"2021","author":"Dwivedi","key":"ref22"},{"key":"ref23","article-title":"Inductive representation learning on large graphs","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Hamilton","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1021\/acsomega.1c04017"},{"journal-title":"Fast Graph Representation Learning with PyTorch Geometric","year":"2019","author":"Fey","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177703732"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"journal-title":"Ai model efficiency toolkit","year":"2024","key":"ref28"},{"journal-title":"Snapdragon\u00ae 8 gen 2 mobile hardware development kit","year":"2024","key":"ref29"},{"journal-title":"Snapdragon\u00ae 8 gen 2 mobile hardware development kit","year":"2024","key":"ref30"},{"journal-title":"Qualcomm ai engine direct sdk","year":"2024","key":"ref31"}],"event":{"name":"2025 Design, Automation &amp; Test in Europe Conference (DATE)","start":{"date-parts":[[2025,3,31]]},"location":"Lyon, France","end":{"date-parts":[[2025,4,2]]}},"container-title":["2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10992638\/10992588\/10992937.pdf?arnumber=10992937","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T05:32:14Z","timestamp":1747891934000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10992937\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,31]]},"references-count":31,"URL":"https:\/\/doi.org\/10.23919\/date64628.2025.10992937","relation":{},"subject":[],"published":{"date-parts":[[2025,3,31]]}}}