With the rise of data-driven methods for traffic forecasting, accident
p...
Privacy and interpretability are two of the important ingredients for
ac...
The problem of interpreting the decisions of machine learning is a
well-...
With the increasing popularity of Graph Neural Networks (GNNs) in severa...
Traffic accident prediction is a crucial task in the mobility domain.
St...
Graph neural networks (GNNs) have achieved great success on various task...
With the ever-increasing popularity and applications of graph neural
net...
We propose a novel statistical node embedding of directed graphs, which ...