A new model called GA-ODE combines graph attention networks with ordinary differential equation constraints to predict ...

A new spatio-temporal graph network models players and the ball as a dynamic graph, detecting key match events and tactical ...

Financial fraud has evolved into increasingly sophisticated networks of deception, with criminals exploiting complex webs of transactions to launder money and coordinate elaborate schemes. Traditional ...

Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...