Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of
Graph Machine Learning

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning

8 November 2021

Yuxiao Dong

Papers citing "Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning"

4 / 4 papers shown

Title
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 34 98 0 16 May 2022
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 205 668 0 19 Oct 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 173 907 0 02 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 177 731 0 03 Sep 2019