{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T14:48:44Z","timestamp":1773154124152,"version":"3.50.1"},"reference-count":7,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,6]],"date-time":"2021-10-06T00:00:00Z","timestamp":1633478400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,6]],"date-time":"2021-10-06T00:00:00Z","timestamp":1633478400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,6]],"date-time":"2021-10-06T00:00:00Z","timestamp":1633478400000},"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":[[2021,10,6]]},"DOI":"10.1109\/dsaa53316.2021.9564233","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T22:54:28Z","timestamp":1634770468000},"page":"1-2","source":"Crossref","is-referenced-by-count":21,"title":["ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks"],"prefix":"10.1109","author":[{"given":"Yulong","family":"Pei","sequence":"first","affiliation":[]},{"given":"Tianjin","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Werner","family":"van Ipenburg","sequence":"additional","affiliation":[]},{"given":"Mykola","family":"Pechenizkiy","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975673.67"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.soc.27.1.415"},{"key":"ref6","article-title":"Deeper insights into graph convolutional networks for semi-supervised learning","volume":"32","author":"li","year":"0","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358074"},{"key":"ref7","first-page":"6967","article-title":"Real time image saliency for black box classifiers","author":"dabkowski","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/488"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/299"}],"event":{"name":"2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)","location":"Porto, Portugal","start":{"date-parts":[[2021,10,6]]},"end":{"date-parts":[[2021,10,9]]}},"container-title":["2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9564091\/9564109\/09564233.pdf?arnumber=9564233","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:47:23Z","timestamp":1652197643000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9564233\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,6]]},"references-count":7,"URL":"https:\/\/doi.org\/10.1109\/dsaa53316.2021.9564233","relation":{},"subject":[],"published":{"date-parts":[[2021,10,6]]}}}