Yihua Huang | DeepAI

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Featured Co-authors

Jie Yang
158 publications
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108 publications
Lin Gao
55 publications
Xiangyu Zhao
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Yu-Kun Lai
51 publications
Weiqiang Wang
37 publications
Xu Guo
31 publications
Wenjie Wang
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Hongyang Chen
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Wenqi Fan
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Shihong Xia
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∙ 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. ∙

∙ 12/04/2020

Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders

Deformation component analysis is a fundamental problem in geometry proc...

5 Jie Yang, 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. ∙

∙ 06/23/2020

Distributed Subgraph Enumeration via Backtracking-based Framework

Finding or monitoring subgraph instances that are isomorphic to a given ...

0 Zhaokang Wang, 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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