{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:43:39Z","timestamp":1730231019136,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T00:00:00Z","timestamp":1692921600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T00:00:00Z","timestamp":1692921600000},"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":[[2023,8,25]]},"DOI":"10.1109\/icbase59196.2023.10303067","type":"proceedings-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T17:50:59Z","timestamp":1699033859000},"page":"115-121","source":"Crossref","is-referenced-by-count":0,"title":["Talent Flow Model Based on Graph Attention Network"],"prefix":"10.1109","author":[{"given":"Baisen","family":"Liu","sequence":"first","affiliation":[{"name":"Harbin University of Science and Technology,School of Measurement and Communication Engineering,China,150080"}]},{"given":"Zongting","family":"Jia","sequence":"additional","affiliation":[{"name":"Harbin University of Science and Technology,School of Measurement and Communication Engineering,China,150080"}]},{"given":"Lili","family":"Zhao","sequence":"additional","affiliation":[{"name":"Heilongjiang Institute of Technology,College of Electrical and Information Engineering,Harbin,China,150001"}]},{"given":"Weili","family":"Kong","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Information and Communication Engineering,Harbin,China,150001"}]}],"member":"263","reference":[{"key":"ref13","first-page":"30","article-title":"Attention is all you need[J]","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"article-title":"Node-level differentially private graph neural networks[J]","year":"2021","author":"daigavane","key":"ref12"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.neuro.30.051606.094256"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11691"},{"key":"ref10","article-title":"HOW POWERFUL ARE GRAPH NEURAL NETWORKS? [J]","author":"xu(ed)","year":"2019","journal-title":"ICLRE"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2873341"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning[J]","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"article-title":"Mtag: Modal-temporal attention graph for unaligned human multimodal language sequences[J]","year":"2020","author":"yang","key":"ref16"},{"key":"ref8","article-title":"Fully Convolutional Networks for Semantic Segmentation[J]","author":"shelhamer","year":"2015","journal-title":"CVPR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref9","article-title":"RECURRENT NEURAL NETWORK REGULARIZATION[J]","author":"zaremba","year":"2015","journal-title":"ICLRE"},{"journal-title":"An Introduction to Convolutional Neural Networks","year":"2015","author":"o'shea","key":"ref4"},{"key":"ref3","article-title":"Influencing Factors and Strategies of the Flow of Academic Professionals in Colleges and Universities Based on Convolutional Neural Networks[J]","author":"lili","year":"2021","journal-title":"MOBILE INFORMATION SYSTEMS SCI"},{"key":"ref6","first-page":"20","article-title":"Graph attention networks[J]","volume":"1050","author":"velickovic","year":"2017","journal-title":"Stat"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1109\/TNN.2008.2005605","article-title":"The Graph Neural Network Model[J]","volume":"20","author":"lifranco","year":"2009","journal-title":"IEEE Transactions on Neural Networks"}],"event":{"name":"2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","start":{"date-parts":[[2023,8,25]]},"location":"Nanjing, China","end":{"date-parts":[[2023,8,27]]}},"container-title":["2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10303003\/10303015\/10303067.pdf?arnumber=10303067","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T19:34:08Z","timestamp":1701113648000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10303067\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,25]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/icbase59196.2023.10303067","relation":{},"subject":[],"published":{"date-parts":[[2023,8,25]]}}}