Yulin Zhu | DeepAI

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Featured Co-authors

Yevgeniy Vorobeychik
72 publications
Xiapu Luo
59 publications
Jian Ren
42 publications
Kai Zhou
37 publications
Xiao-Ming Wu
33 publications
Talal Rahwan
13 publications
Tomasz P. Michalak
9 publications
Qimai Li
9 publications
Liang Tong
8 publications
Gaolei Li
7 publications
Xing Ai
6 publications

∙ 08/02/2023

Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach

Graph anomaly detection (GAD) has achieved success and has been widely a...

0 Xing Ai, et al. ∙

∙ 07/26/2023

Dual-Space Attacks against Random-Walk-based Anomaly Detection

Random Walks-based Anomaly Detection (RWAD) is commonly used to identify...

0 Yuni Lai, et al. ∙

∙ 07/24/2023

Homophily-Driven Sanitation View for Robust Graph Contrastive Learning

We investigate adversarial robustness of unsupervised Graph Contrastive ...

0 Yulin Zhu, et al. ∙

∙ 02/01/2023

Simple yet Effective Gradient-Free Graph Convolutional Networks

Linearized Graph Neural Networks (GNNs) have attracted great attention i...

0 Yulin Zhu, et al. ∙

∙ 10/25/2022

FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification

Recently, a lot of research attention has been devoted to exploring Web ...

0 Yulin Zhu, et al. ∙

∙ 06/27/2022

Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs

Signed graphs are widely used to model the trust relationships among use...

0 Yulin Zhu, et al. ∙

∙ 06/16/2022

Adversarial Robustness of Graph-based Anomaly Detection

Graph-based anomaly detection is becoming prevalent due to the powerful ...

0 Yulin Zhu, et al. ∙

∙ 06/18/2021

BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection

Graph-based Anomaly Detection (GAD) is becoming prevalent due to the pow...

0 Yulin Zhu, et al. ∙

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