{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T00:04:07Z","timestamp":1780445047469,"version":"3.54.1"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"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":[[2022,4]]},"DOI":"10.1109\/cicc53496.2022.9772832","type":"proceedings-article","created":{"date-parts":[[2022,5,18]],"date-time":"2022-05-18T19:37:56Z","timestamp":1652902676000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["StreamGCN: Accelerating Graph Convolutional Networks with Streaming Processing"],"prefix":"10.1109","author":[{"given":"Atefeh","family":"Sohrabizadeh","sequence":"first","affiliation":[{"name":"UCLA,Computer Science Department,Los Angeles,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuze","family":"Chi","sequence":"additional","affiliation":[{"name":"UCLA,Computer Science Department,Los Angeles,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jason","family":"Cong","sequence":"additional","affiliation":[{"name":"UCLA,Computer Science Department,Los Angeles,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3240801"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM51124.2021.00012"},{"key":"ref33","author":"xilinx","year":"2021","journal-title":"Vivado Design Suite User Guide High-Level Synthesis"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1039\/C7SC02664A"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3240856"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2019.00028"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3373087.3375312"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA45697.2020.00043"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783417"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA47549.2020.00012"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2018.8351885"},{"key":"ref40","year":"2022","journal-title":"Intel MKL"},{"key":"ref11","article-title":"Graphicionado: A high-performance and energy-efficient accelerator for graph analytics","author":"ham","year":"2016","journal-title":"Micro"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001163"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/molecules26113125"},{"key":"ref14","author":"kipf","year":"2016","journal-title":"Semi-supervised classification with graph convolutional networks"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304028"},{"key":"ref16","article-title":"Graph matching networks for learning the similarity of graph structured objects","author":"li","year":"2019","journal-title":"ICML"},{"key":"ref17","article-title":"ENGN: A high-throughput and energy-efficient accelerator for large graph neural networks","author":"liang","year":"2020","journal-title":"IEEE TC"},{"key":"ref18","author":"ma","year":"2020","journal-title":"Multi-view graph neural networks for molecular property prediction"},{"key":"ref19","year":"2004","journal-title":"NCI\/NIH “Aids antiviral screen data"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.5b00559"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.29007\/3b2l"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA47549.2020.00062"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1016\/S1574-1400(08)00012-1","article-title":"PubChem: integrated platform of small molecules and biological activities","author":"bolton","year":"2008","journal-title":"Annual Reports in Computational Chemistry"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/11767978_35"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2012.28"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021739"},{"key":"ref8","article-title":"Fast graph representation learning with PyTorch geometric","author":"fey","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref7","article-title":"Convolutional networks on graphs for learning molecular fingerprints","author":"duvenaud","year":"2015","journal-title":"NeurIPS"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5720"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO50266.2020.00079"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290967"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3140659.3080254"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-89689-0_33"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403257"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2017.47"},{"key":"ref41","article-title":"NVIDIA cuBLAS","year":"2022","journal-title":"Nvidia"},{"key":"ref23","author":"rozemberczki","year":"2022","journal-title":"A PyTorch Implementation of SimGNN"},{"key":"ref26","article-title":"MatRaptor: A sparse-sparse matrix multiplication accelerator based on row-wise product","author":"srivastava","year":"2020","journal-title":"Micro"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3373087.3375321"}],"event":{"name":"2022 IEEE Custom Integrated Circuits Conference (CICC)","location":"Newport Beach, CA, USA","start":{"date-parts":[[2022,4,24]]},"end":{"date-parts":[[2022,4,27]]}},"container-title":["2022 IEEE Custom Integrated Circuits Conference (CICC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9772767\/9772730\/09772832.pdf?arnumber=9772832","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T20:57:49Z","timestamp":1656363469000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9772832\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/cicc53496.2022.9772832","relation":{},"subject":[],"published":{"date-parts":[[2022,4]]}}}