Hoang NT

Xin Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Stacked Graph Filter.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Homomorphism Convolution.

[BibT_eX]

[DOI]

CoRR, 2020

Revisiting Graph Neural Networks: Graph Filtering Perspective.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Learning Graph Neural Networks with Noisy Labels.

[BibT_eX]

[DOI]

Choong Jun Jin