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11/15/2022
W-Trace: Robust and Effective Watermarking for GPS Trajectories
With the rise of data-driven methods for traffic forecasting, accident p...
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06/29/2022
Private Graph Extraction via Feature Explanations
Privacy and interpretability are two of the important ingredients for ac...
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06/28/2022
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations
The problem of interpreting the decisions of machine learning is a well-...
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09/18/2021
Releasing Graph Neural Networks with Differential Privacy Guarantees
With the increasing popularity of Graph Neural Networks (GNNs) in severa...
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08/27/2021
An Adaptive Clustering Approach for Accident Prediction
Traffic accident prediction is a crucial task in the mobility domain. St...
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06/23/2021
Learnt Sparsification for Interpretable Graph Neural Networks
Graph neural networks (GNNs) have achieved great success on various task...
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05/18/2021
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks
With the ever-increasing popularity and applications of graph neural net...
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05/24/2019
