Graph limit theory provides a rigorous framework for analysing sequences of large graphs by representing them as continuous objects known as graphons – symmetric measurable functions on the unit ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

Conflict-free colouring represents a rapidly evolving area of combinatorial optimisation with significant implications for both theoretical research and practical applications. In this framework, ...