Guanghui Zhu | DeepAI

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Featured Co-authors

Qing Li
108 publications
Xiangyu Zhao
55 publications
Weiqiang Wang
37 publications
Xu Guo
31 publications
Wenjie Wang
24 publications
Hongyang Chen
20 publications
Wenqi Fan
18 publications
Changhua Meng
17 publications
Chunfeng Yuan
13 publications
Yihua Huang
11 publications
Ming Gu
10 publications

∙ 08/15/2023

Simple and Efficient Partial Graph Adversarial Attack: A New Perspective

As the study of graph neural networks becomes more intensive and compreh...

0 Guanghui Zhu, et al. ∙

∙ 07/04/2023

HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks

Heterogeneous graph neural networks (GNNs) have been successful in handl...

0 Guanghui Zhu, et al. ∙

∙ 01/08/2023

AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network

Many real-world data can be modeled as heterogeneous graphs that contain...

0 Guanghui Zhu, et al. ∙

∙ 10/07/2022

A2: Efficient Automated Attacker for Boosting Adversarial Training

Based on the significant improvement of model robustness by AT (Adversar...

0 Zhuoer Xu, et al. ∙

∙ 07/21/2022

Knowledge-enhanced Black-box Attacks for Recommendations

Recent studies have shown that deep neural networks-based recommender sy...

0 Jingfan Chen, et al. ∙

∙ 03/12/2022

Transition Relation Aware Self-Attention for Session-based Recommendation

Session-based recommendation is a challenging problem in the real-world ...

0 Guanghui Zhu, et al. ∙

∙ 08/04/2021

UniGPS: A Unified Programming Framework for Distributed Graph Processing

The industry and academia have proposed many distributed graph processin...

0 Zhaokang Wang, et al. ∙

∙ 10/17/2020

DIFER: Differentiable Automated Feature Engineering

Feature engineering, a crucial step of machine learning, aims to extract...

0 Guanghui Zhu, et al. ∙

∙ 05/29/2020

Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization

Bayesian optimization is a broadly applied methodology to optimize the e...

0 Jingfan Chen, et al. ∙

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