{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:16:41Z","timestamp":1753600601764,"version":"3.30.2"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,8,16]],"date-time":"2024-08-16T00:00:00Z","timestamp":1723766400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,16]],"date-time":"2024-08-16T00:00:00Z","timestamp":1723766400000},"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","award":["62376064,62376065,U20B2046"],"award-info":[{"award-number":["62376064,62376065,U20B2046"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,16]]},"DOI":"10.1109\/besc64747.2024.10780468","type":"proceedings-article","created":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T19:07:29Z","timestamp":1734030449000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Federated Spectral Graph Neural Networks"],"prefix":"10.1109","author":[{"given":"Jiaqi","family":"Yu","sequence":"first","affiliation":[{"name":"Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China"}]},{"given":"Hong","family":"Yang","sequence":"additional","affiliation":[{"name":"Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China"}]},{"given":"Zhou","family":"Chuan","sequence":"additional","affiliation":[{"name":"School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China"}]},{"given":"Zhihong","family":"Tian","sequence":"additional","affiliation":[{"name":"Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403049"},{"key":"ref2","first-page":"6671","article-title":"Subgraph feder-ated learning with missing neighbor generation","volume":"34","author":"Zhang","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26187"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3336050"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00983"},{"key":"ref6","first-page":"1846","article-title":"Free-rider attacks on model aggregation in federated learning","volume-title":"International Conference on Artificial Intelligence and Statistics. PMLR","author":"Fraboni"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2022.3151466"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3131852"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3178153"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3239842"},{"key":"ref11","article-title":"Bridging the gap between spectral and spatial domains in graph neural networks","author":"Balcilar","year":"2020","journal-title":"arXiv preprint"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20664"},{"key":"ref13","article-title":"Predict then propagate: Graph neural networks meet personalized pagerank","author":"Gasteiger","year":"2018","journal-title":"arXiv preprint"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1201\/b11644-19"},{"key":"ref15","article-title":"A survey on spectral graph neural networks","author":"Bo","year":"2023","journal-title":"arXiv preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref17","first-page":"6861","article-title":"Simplifying graph convolutional networks","volume-title":"International conference on machine learning. PMLR","author":"Wu"},{"key":"ref18","article-title":"Spectral networks and locally connected networks on graphs","author":"Bruna","year":"2013","journal-title":"arXiv preprint"},{"key":"ref19","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume":"29","author":"Defferrard","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref20","first-page":"14239","article-title":"Bernnet: Learning arbitrary graph spectral filters via bernstein approximation","volume":"34","author":"He","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1609.02907"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16514"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539112"},{"key":"ref24","first-page":"18839","article-title":"Federated graph classification over non-iid graphs","volume":"34","author":"Xie","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-023-00790-4"},{"key":"ref27","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2017","journal-title":"arXiv preprint"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975673.67"},{"key":"ref29","article-title":"Fedgraphnn: A federated learning system and benchmark for graph neural networks","author":"He","year":"2021","journal-title":"arXiv preprint"}],"event":{"name":"2024 11th International Conference on Behavioural and Social Computing (BESC)","start":{"date-parts":[[2024,8,16]]},"location":"Harbin, China","end":{"date-parts":[[2024,8,18]]}},"container-title":["2024 11th International Conference on Behavioural and Social Computing (BESC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10779601\/10780446\/10780468.pdf?arnumber=10780468","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T06:46:52Z","timestamp":1734072412000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10780468\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,16]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/besc64747.2024.10780468","relation":{},"subject":[],"published":{"date-parts":[[2024,8,16]]}}}