Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks

8 May 2022

Papers citing "Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks"

4 / 4 papers shown

Title
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift Hongrui Liu Binbin Hu Xiao Wang Chuan Shi Qing Cui Jun Zhou 92 54 0 27 Jan 2022
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang Hongrui Liu Chuan Shi Cheng Yang UQCV 109 113 0 29 Sep 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 238 509 0 15 Jan 2021
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 203 885 0 07 Jun 2018