Hoang NT

11 papers A* 3B 1Journal 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Deep Homomorphism Networks. NeurIPS Takanori Maehara, Hoang NT
2022	A*	`conf`	Leaping through Time with Gradient-Based Adaptation for Recommendation. AAAI Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Leaping Through Time with Gradient-based Adaptation for Recommendation. CoRR Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata
2021	A*	`conf`	Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters. NeurIPS Takanori Maehara, Hoang NT
2021	J	`jnl`	Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters. CoRR Takanori Maehara, Hoang NT
2020	J	`jnl`	Graph Homomorphism Convolution. CoRR Hoang NT, Takanori Maehara
2020	B	`conf`	Revisiting Graph Neural Networks: Graph Filtering Perspective. ICPR Hoang NT, Takanori Maehara, Tsuyoshi Murata
2020	J	`jnl`	Stacked Graph Filter. CoRR Hoang NT, Takanori Maehara, Tsuyoshi Murata
2019	J	`jnl`	A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks. CoRR Takanori Maehara, Hoang NT
2019	J	`jnl`	Learning Graph Neural Networks with Noisy Labels. CoRR Hoang NT, Choong Jun Jin, Tsuyoshi Murata
2019	J	`jnl`	Revisiting Graph Neural Networks: All We Have is Low-Pass Filters. CoRR Hoang NT, Takanori Maehara