On the Use of Heterogeneous Graph Neural Networks for Detecting Malicious Activities: a Case Study with Cryptocurrencies
This paper presents a study on the application of Heterogeneous Graph Neural Networks
(HGNNs) for enhancing the security of complex social systems by identifying illicit and …
(HGNNs) for enhancing the security of complex social systems by identifying illicit and …
[PDF][PDF] The Evaluation of DyHATR Performance for Dynamic Heterogeneous Graphs.
NT Al Ghifari, GAP Saptawati, ML Khodra… - Journal of ICT Research …, 2023 - core.ac.uk
Dynamic heterogeneous graphs can represent real-world networks. Predicting links in these
graphs is more complicated than in static graphs. Until now, research interest of link …
graphs is more complicated than in static graphs. Until now, research interest of link …