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06/03/2023
Can Directed Graph Neural Networks be Adversarially Robust?
The existing research on robust Graph Neural Networks (GNNs) fails to ac...
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05/24/2023
Sharpness-Aware Data Poisoning Attack
Recent research has highlighted the vulnerability of Deep Neural Network...
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02/20/2023
Heterogeneous Social Event Detection via Hyperbolic Graph Representations
Social events reflect the dynamics of society and, here, natural disaste...
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12/11/2022
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Anomaly analytics is a popular and vital task in various research contex...
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11/09/2022
Deep Learning for Time Series Anomaly Detection: A Survey
Time series anomaly detection has applications in a wide range of resear...
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09/08/2022
Survey on Applications of Neurosymbolic Artificial Intelligence
In recent years, the Neurosymbolic framework has attracted a lot of atte...
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08/12/2021
Syntax Matters! Syntax-Controlled in Text Style Transfer
Existing text style transfer (TST) methods rely on style classifiers to ...
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10/24/2020
Text Style Transfer: A Review and Experiment Evaluation
The stylistic properties of text have intrigued computational linguistic...
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04/30/2019
Graph Convolutional Networks with EigenPooling
Graph neural networks, which generalize deep neural network models to gr...
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07/17/2018
Temporally Evolving Community Detection and Prediction in Content-Centric Networks
In this work, we consider the problem of combining link, content and tem...
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01/05/2017
