{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:38:06Z","timestamp":1767339486237,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61873288"],"award-info":[{"award-number":["61873288"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hunan Key Laboratory for Internet of Things in Electricity","award":["2019TP1016"],"award-info":[{"award-number":["2019TP1016"]}]},{"name":"Zhejiang Lab","award":["2019KE0AB01"],"award-info":[{"award-number":["2019KE0AB01"]}]},{"name":"CAAI-Huawei MindSpore Open Fund"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1145\/3404835.3463007","type":"proceedings-article","created":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T02:41:52Z","timestamp":1626057712000},"page":"2182-2186","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["GraphPAS: Parallel Architecture Search for Graph Neural Networks"],"prefix":"10.1145","author":[{"given":"Jiamin","family":"Chen","sequence":"first","affiliation":[{"name":"Central South University, Changsha, China"}]},{"given":"Jianliang","family":"Gao","sequence":"additional","affiliation":[{"name":"Central South University, Changsha, China"}]},{"given":"Yibo","family":"Chen","sequence":"additional","affiliation":[{"name":"State Grid Hunan ElectricPower Company Limited, Changsha, China"}]},{"given":"Moctard Babatounde","family":"Oloulade","sequence":"additional","affiliation":[{"name":"Central South University, Changsha, China"}]},{"given":"Tengfei","family":"Lyu","sequence":"additional","affiliation":[{"name":"Central South University, Changsha, China"}]},{"given":"Zhao","family":"Li","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2021,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401319"},{"issue":"55","key":"e_1_3_2_1_2_1","first-page":"1","article-title":"Neural architecture search: A survey","volume":"20","author":"Elsken Thomas","year":"2019","unstructured":"Thomas Elsken, Jan Hendrik Metzen, Frank Hutter, et al. Neural architecture search: A survey. Journal of Machine Learning Research, 20(55):1--21, 2019.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/195"},{"key":"e_1_3_2_1_4_1","volume-title":"Evolutionary architecture search for graph neural networks. arXiv preprint arXiv:2009.10199","author":"Shi Min","year":"2020","unstructured":"Min Shi, David A Wilson, Xingquan Zhu, Yu Huang, Yuan Zhuang, Jianxun Liu,and Yufei Tang. Evolutionary architecture search for graph neural networks. arXiv preprint arXiv:2009.10199, 2020."},{"key":"e_1_3_2_1_5_1","first-page":"7134","volume-title":"International Conference on Machine Learning","author":"You Jiaxuan","year":"2019","unstructured":"Jiaxuan You, Rex Ying, and Jure Leskovec. Position-aware graph neural networks. In International Conference on Machine Learning, pages 7134--7143, 2019."},{"key":"e_1_3_2_1_6_1","first-page":"1024","volume-title":"Annual Conference on Neural Information Processing Systems","author":"Hamilton William L","year":"2017","unstructured":"William L Hamilton, Rex Ying, and Jure Leskovec. Inductive representation learning on large graphs. In Annual Conference on Neural Information Processing Systems, pages 1024--1034, 2017."},{"key":"e_1_3_2_1_7_1","volume-title":"6th International Conference on Learning Representations","author":"Velickovic Petar","year":"2018","unstructured":"Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, PietroLio, and Yoshua Bengio. Graph attention networks. In 6th International Conference on Learning Representations, 2018."},{"issue":"4","key":"e_1_3_2_1_8_1","first-page":"1","article-title":"Introduction to arules--mining association rules and frequent item sets","volume":"2","author":"Hahsler Michael","year":"2007","unstructured":"Michael Hahsler, Bettina Grun, and Kurt Hornik. Introduction to arules--mining association rules and frequent item sets. ACM SIGKDD Explorations, 2(4):1--28,2007.","journal-title":"ACM SIGKDD Explorations"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"e_1_3_2_1_10_1","first-page":"3837","volume-title":"Advances in Neural Information Processing Systems","author":"Defferrard Michael","year":"2016","unstructured":"Michael Defferrard, Xavier Bresson, and Pierre Vandergheynst. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in Neural Information Processing Systems, pages 3837--3845, 2016."},{"key":"e_1_3_2_1_11_1","volume-title":"In5th International Conference on Learning Representations","author":"Kipf Thomas N","year":"2017","unstructured":"Thomas N Kipf and Max Welling. Semi-supervised classification with graph convolutional networks. In5th International Conference on Learning Representations, 2017."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219947"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401308"},{"key":"e_1_3_2_1_14_1","unstructured":"Kaixiong Zhou Qingquan Song Xiao Huang and Xia Hu. Auto-gnn: Neural architecture search of graph neural networks. arXiv preprint arXiv:1909.03184 2019."},{"key":"e_1_3_2_1_15_1","volume-title":"ICLR Workshop on Representation Learning on Graphs and Manifolds","author":"Fey Matthias","year":"2019","unstructured":"Matthias Fey and Jan Eric Lenssen. Fast graph representation learning with pytorch geometric. In ICLR Workshop on Representation Learning on Graphs and Manifolds, 2019."}],"event":{"name":"SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event Canada","acronym":"SIGIR '21"},"container-title":["Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3463007","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3404835.3463007","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:20Z","timestamp":1750191500000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3463007"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":15,"alternative-id":["10.1145\/3404835.3463007","10.1145\/3404835"],"URL":"https:\/\/doi.org\/10.1145\/3404835.3463007","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]},"assertion":[{"value":"2021-07-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}