Learning Graph Neural Networks with Noisy Labels

Poisoning attacks against support vector machines

Original

Battista Biggio, Blaine Nelson, and Pavel Laskov · 2012

Earlier work this paper cites.

Learning with noisy labels

Nagarajan Natarajan, Inderjit S Dhillon, Pradeep K Ravikumar, and Ambuj Tewari · 2013

Earlier work this paper cites.

Deep graph kernels

Pinar Yanardag and SVN Vishwanathan · 2015

Earlier work this paper cites.

Weakly-supervised convolutional learning for detection of inflammatory gastrointestinal lesions

Spiros V Georgakopoulos, Dimitris K Iakovidis, Michael Vasilakakis, Vassilis P Plagianakos, and Anastasios Koulaouzidis · 2016

Earlier work this paper cites.

Loss factorization, weakly supervised learning and label noise robustness

Giorgio Patrini, Frank Nielsen, Richard Nock, and Marcello Carioni · 2016

Cited alongside, same era.

Inductive representation learning on large graphs

Will Hamilton, Zhitao Ying, and Jure Leskovec · 2017

Cited alongside, same era.

Semi-supervised classification with graph convolutional networks

Thomas N. Kipf and Max Welling · 2017

Cited alongside, same era.

Making deep neural networks robust to label noise: A loss correction approach

Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, and Lizhen Qu · 2017

Later among the works it cites.

A brief introduction to weakly supervised learning

Zhi-Hua Zhou · 2017

Later among the works it cites.

How powerful are graph neural networks?

Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka · 2019

Closest in time.