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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...
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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...
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02/25/2023
Knowledge Graph Completion with Counterfactual Augmentation
Graph Neural Networks (GNNs) have demonstrated great success in Knowledg...
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08/13/2022
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification
Graph neural networks (GNNs) have achieved tremendous success in the tas...
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06/11/2022
Semi-Supervised Hierarchical Graph Classification
Node classification and graph classification are two graph learning prob...
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06/11/2021
Online Continual Adaptation with Active Self-Training
Models trained with offline data often suffer from continual distributio...
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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...
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04/11/2021
AutoGL: A Library for Automated Graph Learning
Recent years have witnessed an upsurge of research interests and applica...
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09/14/2020
Implicit Graph Neural Networks
Graph Neural Networks (GNNs) are widely used deep learning models that l...
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03/16/2020
Spectral Graph Attention Network
Variants of Graph Neural Networks (GNNs) for representation learning hav...
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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...
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08/04/2019
The General Black-box Attack Method for Graph Neural Networks
With the great success of Graph Neural Networks (GNNs) towards represent...
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05/24/2019