A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields. - Minh-Thanh Bui; Duc-Thinh Ngo; Demin Lu; Zonghua Zhang (CoRR, 2023)

Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities. - Duc-Thinh Ngo; Ons Aouedi; Kandaraj Piamrat; Thomas Hassan; Philippe Raipin Parvédy (Future Internet, 2023)

FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning. - Duc-Thinh Ngo; Kandaraj Piamrat; Ons Aouedi; Thomas Hassan; Philippe Raipin Parvédy (PIMRC, 2024)

Rethinking traffic prediction in Mobile Network Digital Twins: A flexible inductive graph-based learning model for data-scarce scenarios. - Duc-Thinh Ngo; Ons Aouedi; Kandaraj Piamrat; Thomas Hassan; Philippe Raipin Parvédy (Comput. Networks, 2025)