Spectral Adversarial Training for Robust Graph Neural Network

1 code implementation • 20 Nov 2022 • Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, TingTing Liang, Qing Ling

In this work, we seek to address these challenges and propose Spectral Adversarial Training (SAT), a simple yet effective adversarial training approach for GNNs.

Spiking Graph Convolutional Networks

1 code implementation • 5 May 2022 • Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo

Graph Convolutional Networks (GCNs) achieve an impressive performance due to the remarkable representation ability in learning the graph information.

Graph Classification Recommendation Systems

Modelling High-Order Social Relations for Item Recommendation

no code implementations • 23 Mar 2020 • Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang

The prevalence of online social network makes it compulsory to study how social relations affect user choice.

Vocal Bursts Intensity Prediction

A Survey of Adversarial Learning on Graphs

2 code implementations • 10 Mar 2020 • Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng, Bingzhe Wu

To bridge this gap, we investigate and summarize the existing works on graph adversarial learning tasks systemically.

Clustering Graph Clustering +2