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08/14/2023
Data Generation-based Operator Learning for Solving Partial Differential Equations on Unbounded Domains
Wave propagation problems are typically formulated as partial differenti...
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11/29/2022
Disentangled Generation with Information Bottleneck for Few-Shot Learning
Few-shot learning (FSL), which aims to classify unseen classes with few ...
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11/08/2022
Stability and convergence analysis of high-order numerical schemes with DtN-type absorbing boundary conditions for nonlocal wave equations
The stability and convergence analysis of high-order numerical approxima...
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05/20/2022
Towards Explanation for Unsupervised Graph-Level Representation Learning
Due to the superior performance of Graph Neural Networks (GNNs) in vario...
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01/21/2022
Robust Unsupervised Graph Representation Learning via Mutual Information Maximization
Recent studies have shown that GNNs are vulnerable to adversarial attack...
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04/22/2020
Scalable Attack on Graph Data by Injecting Vicious Nodes
Recent studies have shown that graph convolution networks (GCNs) are vul...
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02/19/2020
