{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/124244"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/124244","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Active graph anomaly detection","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. 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The submission was exported from vireo on 2024-09-16 without embargo terms","The student, Ishika Agarwal, accepted the attached license on 2024-04-09 at 11:08.","The student, Ishika Agarwal, submitted this Thesis for approval on 2024-04-09 at 11:15.","This Thesis was approved for publication on 2024-04-09 at 14:24.","DSpace SAF Submission Ingestion Package generated from Vireo submission #20339 on 2024-09-16 at 00:33:53","Recently, detecting anomalies in attributed networks has gained a lot of attention from research communities due to the numerous real-world use cases in the financial, social media, medical, and agricultural domains. This thesis aims to explore node anomaly detection in two different aspects: soft-labeling, and multi-armed bandits. The environment in both settings is constrained to an active learning scenario where there is no direct access to ground truth labels but access to an oracle. This thesis comprises of three works: one using soft-labeling, another with multi-armed bandits, and a third that explores a combination of both. We present experimental results for each work to justify the algorithmic decisions that were made. Future work is also discussed to build on top of these methods."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Active graph anomaly detection"]}]}],"canonical_facts":{"dc:contributor":["Tong, Hanghang"],"dc:creator":["Agarwal, Ishika"],"dc:date":["2024-05","2024-04-09"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. 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