Graph Classification by Mixture of Diverse Experts

Graph Classification by Mixture of Diverse Experts

29 March 2021

Liang Wang

Papers citing "Graph Classification by Mixture of Diverse Experts"

6 / 6 papers shown

Title
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis Weikai Li Ding Wang Zijian Ding Atefeh Sohrabizadeh Zongyue Qin Jason Cong Yizhou Sun 35 2 0 25 Oct 2024
Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flash Weihua Liu Chaochao Lin Yunzhen Yan CVBM AAML 15 1 0 29 Aug 2023
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 251 457 0 11 Mar 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 175 1,778 0 02 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,239 0 24 Nov 2016