{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,12]],"date-time":"2025-01-12T05:09:35Z","timestamp":1736658575878,"version":"3.32.0"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"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":[[2024,12,3]]},"DOI":"10.1109\/bibm62325.2024.10821842","type":"proceedings-article","created":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T20:12:45Z","timestamp":1736539965000},"page":"5764-5769","source":"Crossref","is-referenced-by-count":0,"title":["Anomaly Detection in Individual Specific Networks through Explainable Generative Adversarial Attributed Networks"],"prefix":"10.1109","author":[{"given":"Pietro Hiram","family":"Guzzi","sequence":"first","affiliation":[{"name":"Magna Graecia University,Department of Surgical and Medical Sciences,Catanzaro,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ugo","family":"Lomoio","sequence":"additional","affiliation":[{"name":"Magna Graecia University,Department of Surgical and Medical Sciences,Catanzaro,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tommaso","family":"Mazza","sequence":"additional","affiliation":[{"name":"IRCCS Casa Sollievo Della Sofferenza,Rome,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierangelo","family":"Veltri","sequence":"additional","affiliation":[{"name":"University of Calabria,Department of Informatics Modelling Electronics and Systems DIMES,Rende,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412070"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-11-315"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btad303"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbw132"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2023.1209416"},{"issue":"141","key":"ref6","first-page":"1","article-title":"PyGOD: A Python library for graph outlier detection","volume":"25","author":"Liu","year":"2024","journal-title":"Journal of Machine Learning Research"},{"key":"ref7","first-page":"27021","article-title":"BOND: Benchmarking unsupervised outlier node detection on static attributed graphs","volume-title":"Advances in Neural Information Processing Systems","volume":"35","author":"Liu","year":"2022"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-017-1635-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2018.0405"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/bioadv\/vbae099"}],"event":{"name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2024,12,3]]},"location":"Lisbon, Portugal","end":{"date-parts":[[2024,12,6]]}},"container-title":["2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10821710\/10821711\/10821842.pdf?arnumber=10821842","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T10:09:53Z","timestamp":1736590193000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10821842\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/bibm62325.2024.10821842","relation":{},"subject":[],"published":{"date-parts":[[2024,12,3]]}}}