Computer scientists at Rutgers University in New Jersey used a computer algorithm to analyse 63,000 paintings and sculptures for their originality and influence on the art world.

Graph algorithms constitute a pivotal component of modern computational science, underpinning diverse applications ranging from transportation optimisation and telecommunications to social network ...

Extensive empirical studies on real and synthetic graphs demonstrate that our techniques outperform the state-of-the-art algorithms on six datasets. DOI: 10.1007/s11704-023-3626-3 ...

Abstract:Efficient layout of large-scale graphs remains a challenging problem: the force-directed and dimensionality reduction-based methods suffer from high overhead for graph distance and gradient ...

With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a graph neural ...