Learning Graph Neural Networks with Noisy Labels. - Hoang NT; Choong Jun Jin; Tsuyoshi Murata (CoRR, 2019)

Revisiting Graph Neural Networks: All We Have is Low-Pass Filters. - Hoang NT; Takanori Maehara (CoRR, 2019)

A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks. - Takanori Maehara; Hoang NT (CoRR, 2019)

Revisiting Graph Neural Networks: Graph Filtering Perspective. - Hoang NT; Takanori Maehara; Tsuyoshi Murata (ICPR, 2020)

Graph Homomorphism Convolution. - Hoang NT; Takanori Maehara (CoRR, 2020)

Stacked Graph Filter. - Hoang NT; Takanori Maehara; Tsuyoshi Murata (CoRR, 2020)

Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters. - Takanori Maehara; Hoang NT (NeurIPS, 2021)

Leaping through Time with Gradient-Based Adaptation for Recommendation. - Nuttapong Chairatanakul; Hoang NT; Xin Liu 020; Tsuyoshi Murata (AAAI, 2022)

Deep Homomorphism Networks. - Takanori Maehara; Hoang NT (NeurIPS, 2024)