Author:
Mesgaran Mahsa,Hamza A. Ben
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference43 articles.
1. Pang G, van den Hengel A, Shen C, Cao L (2021) Toward deep supervised anomaly detection: Reinforcement learning from partially labeled anomaly data. In: Proceedings ACM SIGKDD conference on knowledge discovery and data mining, pp 1298–1308
2. Liu F, Ma X, Wu J, Yang J, Xue S, Beheshti A, Zhou C, Peng H, Sheng QZ, Aggarwal CC (2022) DAGAD: data augmentation for graph anomaly detection. In: Proceedings IEEE international conference on data mining, pp 259–268
3. Ma X, WuJ , Xue S, Yang J, Zhou C, Sheng QZ, Xiong H, Akoglu L (2021) A comprehensive survey on graph anomaly detection with deep learning. In: IEEE transactions on knowledge and data engineering, vol 131
4. Ying Z, You J, Morris C, Ren X, Hamilton W, Leskovec J (2018) Hierarchical graph representation learning with differentiable pooling. In: Advances in neural information processing systems
5. Lee J, Lee I, Kang J (2019) Self-attention graph pooling. In: International conference on machine learning, vol 97, pp 3734–3743
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