{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:38:09Z","timestamp":1730266689512,"version":"3.28.0"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650951","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["PNAHN: Parallel Neighbor Aggregation for Heterogeneous Graph Neural Network"],"prefix":"10.1109","author":[{"given":"Fan","family":"Li","sequence":"first","affiliation":[{"name":"University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China"}]},{"given":"Kaihang","family":"Dou","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences,School of Mathematical Sciences,Beijing,China"}]},{"given":"Suixiang","family":"Gao","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences,Zhongguancun Laboratory,Beijing,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102151"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3055147"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330673"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/677"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16600"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26192"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3450352"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450060"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3233481"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01110-6"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3079239"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330961"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26283"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583454"},{"journal-title":"Hagnn: Hybrid aggregation for heterogeneous graph neural networks","year":"2023","author":"Zhu","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380297"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533711"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00203"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5833"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467350"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3160208"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110930"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"International Conference on Learning Representations (ICLR)","author":"Kipf","key":"ref28"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.14711\/thesis-991012757468803412"},{"key":"ref30","article-title":"Inductive representation learning on large graphs","volume":"30","author":"Hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120115"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583493"},{"key":"ref34","article-title":"Graph transformer networks","volume":"32","author":"Yun","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380027"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2024,6,30]]},"location":"Yokohama, Japan","end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650951.pdf?arnumber=10650951","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T06:57:43Z","timestamp":1725951463000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650951\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650951","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}