Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …

Topological neural networks (TNNs) are information processing architectures that model
representations from data lying over topological spaces (eg, simplicial or cell complexes) …

Accurate localization is one of the basic requirements for smart cities and smart factories. In
wireless cellular network localization, the straight-line propagation of electromagnetic waves …

As an emerging artificial intelligence technology, graph neural networks (GNNs) have
exhibited promising performance across a wide range of graph-related applications …

Like many other deep learning models, Graph Neural Networks (GNNs) have been shown to
be susceptible to adversarial attacks, ie, the addition of crafted imperceptible noise to input …