Power up! Robust Graph Convolutional Network via Graph Powering

Power up! Robust Graph Convolutional Network via Graph Powering

24 May 2019

Ming Jin

Somayeh Sojoudi

Papers citing "Power up! Robust Graph Convolutional Network via Graph Powering"

6 / 6 papers shown

Title
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification Beini Xie Heng Chang Ziwei Zhang Zeyang Zhang Simin Wu Xin Wang Yuan Meng Wenwu Zhu 29 2 0 24 Jun 2024
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing Zhaoliang Chen Zhihao Wu Zhe-Hui Lin Shiping Wang Claudia Plant Wenzhong Guo 27 18 0 14 Apr 2023
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation Zhihao Zhu Chenwang Wu Mingyang Zhou Hao Liao DefuLian Enhong Chen AAML 11 4 0 15 Nov 2022
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning Su Wang Zhiliang Wang Tao Zhou Xia Yin Dongqi Han Han Zhang Hongbin Sun Xingang Shi Jiahai Yang 24 69 0 08 Nov 2021
Node Feature Kernels Increase Graph Convolutional Network Robustness M. Seddik Changmin Wu J. Lutzeyer Michalis Vazirgiannis AAML 27 8 0 04 Sep 2021
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification Brendon G. Anderson Ziye Ma Jingqi Li Somayeh Sojoudi 55 1 0 22 Jan 2021