publications

2021

  1. ICPR
    Revisiting Graph Neural Networks: Graph Filtering Perspective
    NT, Hoang, Maehara, Takanori, and Murata, Tsuyoshi
    In 25th International Conference on Pattern Recognition (ICPR) 2021

2020

  1. ICML
    Graph Homomorphism Convolution
    NT, Hoang, and Maehara, Takanori
    In 37th International Conference on Machine Learning 2020
  2. arXiv
    Adaptive Stacked Graph Filter
    NT, Hoang, Maehara, Takanori, and Murata, Tsuyoshi
    2020

2019

  1. ICLR-LLD
    Learning graph neural networks with noisy labels
    Hoang, NT, Choong, Jun Jin, and Murata, Tsuyoshi
    In ICLRW Limited Label Data 2019
  2. arXiv
    A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks
    Takanori, Maehara, and NT, Hoang
    2019
  3. arXiv
    Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
    NT, Hoang, and Maehara, Takanori
    2019

2017

  1. IJCAI-GRL
    Motif-Aware Graph Embedding
    NT, Hoang, and Murata, Tsuyoshi
    In IJCAIW Graph Representation Learning 2017