On the Use of Heterogeneous Graph Neural Networks for Detecting Malicious Activities: a Case Study with Cryptocurrencies

S Ferretti, G D'Angelo, V Ghini - … of the 4th International Workshop on …, 2024 - dl.acm.org
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 …

[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 …