Towards an Efficient and General Framework of Robust Training for Graph Neural Networks

25 February 2020

Caiwen Ding

Papers citing "Towards an Efficient and General Framework of Robust Training for Graph Neural Networks"

4 / 4 papers shown

Title
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 77 22 0 01 May 2023
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 21 57 0 31 Jan 2023
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 41 20 0 21 Aug 2022
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 136 285 0 01 May 2018