7 citations · 10 across the 4 of their papers we have counts for
4 papers
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study
Viet Bach Nguyen, Truong Son Hy, Long Tran-Thanh +1
Modeling and simulations of pandemic dynamics play an essential role in understanding and addressing the spreading of highly infectious diseases such as COVID-19. In this work, we…
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction
Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh +1
In this paper, we introduce Temporal Multiresolution Graph Neural Networks (TMGNN), the first architecture that both learns to construct the multiscale and multiresolution graph st…
Human Imperceptible Attacks and Applications to Improve Fairness
Xinru Hua, Huanzhong Xu, Jose Blanchet +1
Modern neural networks are able to perform at least as well as humans in numerous tasks involving object classification and image generation. However, small perturbations which are…
Selfish Mining in Proof-of-Work Blockchain with Multiple Miners: An Empirical Evaluation
Tin Leelavimolsilp, Long Tran-Thanh, Sebastian Stein +1
Proof-of-Work blockchain, despite its numerous benefits, is still not an entirely secure technology due to the existence of Selfish Mining (SM) strategies that can disrupt the syst…