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To address this challenge, we propose an effective method to learn anonymous edge representation (AER) that captures the characteristics of an edge without using identity information. We further propose a model named AER-AD to utilize AER to detect anomalies in dynamic bipartite graphs in an inductive setting. Extensive experiments on both real-life and synthetic datasets are conducted to illustrate that AER-AD outperforms state-of-the-art baselines. In terms of AUC and F1, AER-AD is able to achieve 8.38% and 14.98% higher results than the best inductive representation baselines, and 6.99% and 19.59% than the best anomaly detection baselines.<\/jats:p>","DOI":"10.14778\/3579075.3579088","type":"journal-article","created":{"date-parts":[[2023,3,6]],"date-time":"2023-03-06T17:10:26Z","timestamp":1678122626000},"page":"1154-1167","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph"],"prefix":"10.14778","volume":"16","author":[{"given":"Lanting","family":"Fang","sequence":"first","affiliation":[{"name":"Southeast University and Purple Mountain Laboratories, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiyu","family":"Feng","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Gui","sequence":"additional","affiliation":[{"name":"Southeast University and Purple Mountain Laboratories, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shanshan","family":"Feng","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen), China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aiqun","family":"Hu","sequence":"additional","affiliation":[{"name":"Southeast University and Purple Mountain Laboratories, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,3,6]]},"reference":[{"key":"e_1_2_1_1_1","first-page":"399","volume-title":"Proceedings of the IEEE 27th international conference on data engineering","author":"Aggarwal C. 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