Heng Chang | DeepAI

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Xin Wang
382 publications
Jia Li
149 publications
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106 publications
Xinchao Wang
104 publications
Yongfeng Huang
80 publications
Zhi Wang
72 publications
Peng Cui
69 publications
Yu Rong
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Wenwu Zhu
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Han Zhao
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Wenbing Huang
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∙ 04/09/2023

Adversarially Robust Neural Architecture Search for Graph Neural Networks

Graph Neural Networks (GNNs) obtain tremendous success in modeling relat...

0 Beini Xie, et al. ∙

∙ 04/05/2023

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration

We propose a novel task for generating 3D dance movements that simultane...

0 Kehong Gong, et al. ∙

∙ 02/25/2023

Knowledge Graph Completion with Counterfactual Augmentation

Graph Neural Networks (GNNs) have demonstrated great success in Knowledg...

0 Heng Chang, et al. ∙

∙ 08/13/2022

Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification

Graph neural networks (GNNs) have achieved tremendous success in the tas...

0 Beini Xie, et al. ∙

∙ 06/11/2022

Semi-Supervised Hierarchical Graph Classification

Node classification and graph classification are two graph learning prob...

0 Jia Li, et al. ∙

∙ 06/11/2021

Online Continual Adaptation with Active Self-Training

Models trained with offline data often suffer from continual distributio...

0 Shiji Zhou, et al. ∙

∙ 05/26/2021

Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge

With the success of the graph embedding model in both academic and indus...

0 Heng Chang, et al. ∙

∙ 04/11/2021

AutoGL: A Library for Automated Graph Learning

Recent years have witnessed an upsurge of research interests and applica...

0 Chaoyu Guan, et al. ∙

∙ 09/14/2020

Implicit Graph Neural Networks

Graph Neural Networks (GNNs) are widely used deep learning models that l...

0 Fangda Gu, et al. ∙

∙ 03/16/2020

Spectral Graph Attention Network

Variants of Graph Neural Networks (GNNs) for representation learning hav...

0 Heng Chang, et al. ∙

∙ 08/04/2019

A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models

With the great success of graph embedding model on both academic and ind...

0 Heng Chang, et al. ∙

∙ 08/04/2019

The General Black-box Attack Method for Graph Neural Networks

With the great success of Graph Neural Networks (GNNs) towards represent...

0 Heng Chang, et al. ∙

∙ 05/24/2019

Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering

Graph convolutional networks (GCNs) are powerful tools for graph-structu...

0 Ming Jin, et al. ∙

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