Видео с ютуба Robustness Of Graph Neural Networks

Robustness of Graph Neural Networks

Stanford CS224W: ML with Graphs | 2021 | Lecture 16.4 - Robustness of Graph Neural Networks

Are Defenses for Graph Neural Networks Robust?

KDD 2025 - Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?

Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks (TMLR)

Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks

Robust GNN Backdoor Defense

WAIN - Unveiling the potential of Graph Neural Networks for robust Intrusion Detection

Toward Certified Robustness of Graph Neural Networks in Adversarial AIoT Environments

Graph Neural Network Tasks #machinelearning #datascience #deeplearning

Learning Robust Graph Neural Networks with Limited Supervision | @AISTATS2023

RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks

On the Robustness of Post-hoc GNN Explainers to Label Noise - ArXiv:2309.01706

Model Selection with Graph Neural Network

Theoretical Foundations of Graph Neural Networks

On the Robustness of Post-hoc GNN Explainers to Label Noise - ArXiv:2309.01706

Graph Neural Networks - a perspective from the ground up

Graph Structure Learning for Robust Graph Neural Networks