{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:36:50Z","timestamp":1761176210886,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:p>Graph Anomaly Detection identifies nodes in a graph that deviate from normal behavior and finds wide applications in finance, social networks, and cybersecurity. Recent studies focus on capturing rich contrastive information between positive and negative samples by constructing multi-view contrast patterns through data augmentation, achieving notable performance gains. Nevertheless, existing methods often suffer from abnormal information diffusion, where anomalies propagate along abnormal edges and contaminate neighboring nodes, ultimately compromising the semantic consistency between the target node and its positive subgraph. Furthermore, most existing approaches learn node representations solely in Euclidean space, limiting their ability to capture the hierarchical structure prevalent in real-world graphs. To address these challenges, we propose a novel Dual-space Contrastive Learning Framework with Abnormal Edge Suppression, named DC-AES. By incorporating hyperbolic space, our framework preserves the hierarchical structure of the graph, while the abnormal edge suppression module mitigates anomaly diffusion by filtering out anomalous edges. Extensive experiments on six real datasets demonstrate the effectiveness of our approach compared to existing SOTA methods, with a maximum improvement of 6.63% in AUC.<\/jats:p>","DOI":"10.3233\/faia251109","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:51:43Z","timestamp":1761126703000},"source":"Crossref","is-referenced-by-count":0,"title":["Dual-Space Contrastive Learning with Abnormal Edge Suppression for Graph Anomaly Detection"],"prefix":"10.3233","author":[{"given":"Mark","family":"Junjie Li","sequence":"first","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiyang","family":"He","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[{"name":"Shenzhen Academy of Inspection and Quarantine, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinren","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gen","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiang","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunjie","family":"Huang","sequence":"additional","affiliation":[{"name":"Shenzhen Academy of Inspection and Quarantine, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251109","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:51:43Z","timestamp":1761126703000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251109"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251109","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}