Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation

27 April 2024

Papers citing "Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation"

9 / 9 papers shown

Title
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation Lirong Wu Yufei Huang Haitao Lin Zicheng Liu Tianyu Fan Stan Z. Li SSL 87 5 0 05 Oct 2022
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization Risheng Liu Xuan Liu Xiaoming Yuan Shangzhi Zeng Jin Zhang 66 80 0 15 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 68 116 0 08 Jun 2021
Unified Robust Training for Graph NeuralNetworks against Label Noise Yayong Li Jie Yin Ling-Hao Chen NoLa 50 29 0 05 Mar 2021
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 81 1,109 0 27 Oct 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 345 514 0 05 Mar 2020
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 182 2,825 0 22 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 459 20,124 0 30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 602 29,032 0 09 Sep 2016