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Hoang NT
Hoang NT
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Title
Cited by
Cited by
Year
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
H NT, T Maehara
arXiv preprint arXiv:1905.09550, 2019
1632019
Learning Graph Neural Networks with Noisy Labels
H NT, CJ Jin, T Murata
Workshop on Limited Label Data (LLD - ICLR'19), 2019
192019
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks
T Maehara, H NT
arXiv preprint arXiv:1910.03802, 2019
132019
Graph homomorphism convolution
H NT, T Maehara
37th International Conference on Machine Learning (ICML-20), 7306-7316, 2020
12*2020
Revisiting graph neural networks: Graph filtering perspective
NT Hoang, T Maehara, T Murata
25th International Conference on Pattern Recognition (ICPR-20), 8376-8383, 2021
52021
Stacked graph filter
H NT, T Maehara, T Murata
arXiv preprint arXiv:2011.10988, 2020
5*2020
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
T Maehara, H NT
35th Conference on Neural Information Processing Systems (NeurIPS-21), 2021
12021
Heterogeneous graph embedding with single-level aggregation and infomax encoding
N Chairatanakul, X Liu, NT Hoang, T Murata
Machine Learning, 1-30, 2022
2022
Leaping Through Time with Gradient-based Adaptation for Recommendation
N Chairatanakul, H NT, X Liu, T Murata
36th AAAI Conference on Artificial Intelligence (AAAI-22), 2021
2021
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Articles 1–9