{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T19:34:31Z","timestamp":1773776071031,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":9,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,12,10]],"date-time":"2021-12-10T00:00:00Z","timestamp":1639094400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,12,10]]},"DOI":"10.1145\/3510513.3510514","type":"proceedings-article","created":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T10:18:16Z","timestamp":1652177896000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Convolutional Neural Network Based on Self-Attention Mechanism for Molecular Property Prediction Using Molecular Hidden Fingerprints"],"prefix":"10.1145","author":[{"given":"Hongzhen","family":"Li","sequence":"first","affiliation":[{"name":"College of Physics and Electronic Science, Shandong Normal University, China"}]},{"given":"Wenhan","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Physics and Electronic Science, Shandong Normal University, China"}]},{"given":"Jingjing","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Physics and Electronic Science, Shandong Normal University, China"}]},{"given":"Zengzhao","family":"Sun","sequence":"additional","affiliation":[{"name":"College of Physics and Electronic Science, Shandong Normal University, China"}]},{"given":"Jinwen","family":"Ren","sequence":"additional","affiliation":[{"name":"College of Physics and Electronic Science, Shandong Normal University, China"}]},{"given":"Bo","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Physics and Electronic Science, Shandong Normal University, China"}]},{"given":"Zhenye","family":"Luan","sequence":"additional","affiliation":[{"name":"College of Physics and Electronic Science, Shandong Normal University, China"}]},{"given":"Zishu","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Physics and Electronic Science, Shandong Normal University, China"}]}],"member":"320","published-online":{"date-parts":[[2022,5,10]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Convolutional Networks onGraphs for Learning Molecular Fingerprints. Advances in Neural Information Processing Systems","author":"Duvenaud D. K.","year":"2015","unstructured":"Duvenaud , D. K. ; Maclaurin , D. ; Iparraguirre , J. ; Bombarell , R. ; Hirzel , T. ; Aspuru-Guzik , A. ; Adams , R. P. Convolutional Networks onGraphs for Learning Molecular Fingerprints. Advances in Neural Information Processing Systems 2015 , 2224\u22122232. Duvenaud, D. K.; Maclaurin, D.; Iparraguirre, J.; Bombarell, R.;Hirzel, T.; Aspuru-Guzik, A.; Adams, R. P. Convolutional Networks onGraphs for Learning Molecular Fingerprints. Advances in Neural Information Processing Systems 2015, 2224\u22122232."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1039\/C7SC02664A"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305381.3305512"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.6b00601"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1039\/C8SC00148K"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.9b00237"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2020.01.021"},{"issue":"4","key":"e_1_3_2_2_8_1","first-page":"641","article-title":"Zhao, Research on convolution kernel initialization method in convolutional neural network (CNN) training","volume":"35","author":"Zhu J.H.","year":"2019","unstructured":"J.H. Zhu , J.H. Pei , Y . Zhao, Research on convolution kernel initialization method in convolutional neural network (CNN) training , Signal Process. 35 ( 4 ) , 2019 , 641 \u2013 648 . J.H. Zhu, J.H. Pei, Y. Zhao, Research on convolution kernel initialization method in convolutional neural network (CNN) training, Signal Process. 35 (4) , 2019, 641\u2013648.","journal-title":"Signal Process."},{"key":"e_1_3_2_2_9_1","volume-title":"Self-Attention with Relative Position Representations[C]\/\/ Proceedings of the 2018 Conference of the North American","author":"Shaw P","year":"2018","unstructured":"Shaw P , Uszkoreit J , Vaswani A . Self-Attention with Relative Position Representations[C]\/\/ Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) . 2018 . Shaw P , Uszkoreit J , Vaswani A . Self-Attention with Relative Position Representations[C]\/\/ Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers). 2018."}],"event":{"name":"ICNCC 2021: 2021 The 10th International Conference on Networks, Communication and Computing","location":"Beijing China","acronym":"ICNCC 2021"},"container-title":["2021 The 10th International Conference on Networks, Communication and Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3510513.3510514","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3510513.3510514","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:19Z","timestamp":1750191139000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3510513.3510514"}},"subtitle":["An efficient molecular property prediction method"],"short-title":[],"issued":{"date-parts":[[2021,12,10]]},"references-count":9,"alternative-id":["10.1145\/3510513.3510514","10.1145\/3510513"],"URL":"https:\/\/doi.org\/10.1145\/3510513.3510514","relation":{},"subject":[],"published":{"date-parts":[[2021,12,10]]},"assertion":[{"value":"2022-05-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}