Homophily principle, i.e. nodes with the same labels are more likely to ...
Robust, high-precision global localization is fundamental to a wide rang...
The core operation of current Graph Neural Networks (GNNs) is the aggreg...
Graph Neural Networks (GNNs) extend basic Neural Networks (NNs) by
addit...
Graph Neural Networks (GNNs) extend basic Neural Networks (NNs) by using...
The Korkine–Zolotareff (KZ) reduction, and its generalisations, are wide...
Graph Neural Networks (GNNs) extend basic Neural Networks (NNs) by using...
This paper is concerned with detecting an integer parameter vector insid...
The core operation of Graph Neural Networks (GNNs) is the aggregation en...
The performance limit of Graph Convolutional Networks (GCNs) and the fac...
In tabular case, when the reward and environment dynamics are known, pol...
Recently, neural network based approaches have achieved significant
impr...
The Korkine-Zolotareff (KZ) reduction is a widely used lattice reduction...
In this paper, a novel technique for tight outer-approximation of the
in...