July 04, 2014 article Graph based anomaly detection and description: a survey Data Mining and Knowledge Discovery DOI: 10.1007/s10618-014-0365-y OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 1,535 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection 2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Anomaly Detection Techniques and Applications Open access 2 citations Towards automated self-supervised learning for truly unsupervised graph anomaly detection 2025 Data Mining and Knowledge Discovery article Computer Science Advanced Graph Neural Networks Open access 1 citations Cross-Domain Graph Level Anomaly Detection 2024 IEEE Transactions on Knowledge and Data Engineering article Computer Science Anomaly Detection Techniques and Applications Open access 4 citations 3 results References 0