September 03, 2021 article A Novel Spatiotemporal Prediction Approach Based on Graph Convolution Neural Networks and Long Short-Term Memory for Money Laundering Fraud Arabian Journal for Science and Engineering DOI: 10.1007/s13369-021-06116-2 OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 36 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 Scalable Semi-Supervised Graph Learning Techniques for Anti Money Laundering 2024 IEEE Access article Social Sciences Crime, Illicit Activities, and Governance Open access 35 citations 1 result References 0