NT Hoang

Leaping through Time with Gradient-Based Adaptation for Recommendation. 

Thirty-Sixth AAAI Conference on Artificial Intelligence(AAAI) 6141-6149 2022年  

Leaping Through Time with Gradient-based Adaptation for Recommendation. 

CoRR abs/2112.05914 2021年  

Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters. 

CoRR abs/2111.03317 2021年  

Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters. 

Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021(NeurIPS) 1126-1141 2021年  

Stacked Graph Filter. 

CoRR abs/2011.10988 2020年  

Graph Homomorphism Convolution. 

CoRR abs/2005.01214 2020年  

Revisiting Graph Neural Networks: Graph Filtering Perspective. 

25th International Conference on Pattern Recognition(ICPR) 8376-8383 2020年  

A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks. 

CoRR abs/1910.03802 2019年  

Revisiting Graph Neural Networks: All We Have is Low-Pass Filters. 

CoRR abs/1905.09550 2019年  

Learning Graph Neural Networks with Noisy Labels. 

CoRR abs/1905.01591 2019年