Scalable Consistency Training for Graph Neural Networks via
Self-Ensemble Self-Distillation

Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation

12 October 2021

George Karypis

Papers citing "Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation"

4 / 4 papers shown

Title
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 245 655 0 23 Mar 2020
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 141 226 0 23 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 186 743 0 03 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016