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  • Search: subject:"Graph convolutional networks"
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Subject
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Business network 2 Graph theory 2 Graphentheorie 2 Unternehmensnetzwerk 2 graph convolutional networks 2 Algorithm 1 Algorithmus 1 Anomaly detection 1 Anti-money laundering 1 Artificial intelligence 1 Deep neural decision forest 1 Descriptive statistics 1 Deskriptive Statistik 1 Graph convolutional networks 1 Graph deep learning 1 Insolvency 1 Insolvenz 1 Knowledge distillation 1 Knowledge management 1 Künstliche Intelligenz 1 Network 1 Netzwerk 1 P2P 1 Personalisierung 1 Personalization 1 Recommender systems 1 Social network 1 Soziales Netzwerk 1 Wissensmanagement 1 debtor-creditor relationship networks 1 default 1 graph embedding 1 graph representation learning 1 knowledge graphs 1 machine learning 1
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 research-article 1
Language
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English 3
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Beldjoudi, Samia 1 Boughareb, Rima 1 Jiang, Cheng 1 Liu, Xueyong 1 Lu, Shan 1 Maya Manohar, K. 1 Mohan, Anuraj 1 P.V., Karthika 1 Peter, Amala 1 Sankar, Parvathi 1 Seridi, Hassina 1 Wang, Yu 1
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Published in...
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Data Technologies and Applications 1 Emerging markets, finance & trade : a journal of the Society for the Study of Emerging Markets 1 Journal of information & knowledge management : JIKM 1
Source
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ECONIS (ZBW) 2 Other ZBW resources 1
Showing 1 - 3 of 3
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Explainable recommendation based on weighted knowledge graphs and graph convolutional networks
Boughareb, Rima; Seridi, Hassina; Beldjoudi, Samia - In: Journal of information & knowledge management : JIKM 22 (2023) 3, pp. 1-25
Persistent link: https://www.econbiz.de/10014388598
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Multi-layer and parallel-connected graph convolutional networks for detecting debt default in P2P networks
Lu, Shan; Wang, Yu; Liu, Xueyong; Jiang, Cheng - In: Emerging markets, finance & trade : a journal of the … 58 (2022) 6, pp. 1688-1701
Persistent link: https://www.econbiz.de/10013190184
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Improving anti-money laundering in bitcoin using evolving graph convolutions and deep neural decision forest
Mohan, Anuraj; P.V., Karthika; Sankar, Parvathi; Maya … - In: Data Technologies and Applications 57 (2022) 3, pp. 313-329
Purpose Money laundering is the process of concealing unlawfully obtained funds by presenting them as coming from a legitimate source. Criminals use crypto money laundering to hide the illicit origin of funds using a variety of methods. The most simplified form of bitcoin money laundering leans...
Persistent link: https://www.econbiz.de/10014712696
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