Suzumura, Toyotaro

7 publications

NeurIPSW 2024 Annealing Machine-Assisted Learning of Graph Neural Network for Combinatorial Optimization Pablo Loyola, Kento Hasegawa, Andrés Hoyos-Idrobo, Kazuo Ono, Toyotaro Suzumura, Yu Hirate, Masanao Yamaoka

ICLR 2024 Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura

AAAI 2023 Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh

AAAI 2023 Spatio-Temporal Meta-Graph Learning for Traffic Forecasting Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura

TMLR 2022 How Expressive Are Transformers in Spectral Domain for Graphs? Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Hiroki Kanezashi, Toyotaro Suzumura, Isaiah Onando Mulang'

AAAI 2020 EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson

JAIR 2018 On the Behavior of Convolutional Nets for Feature Extraction Dario Garcia-Gasulla, Ferran Parés, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura