Dynamic graph representation serves as a framework for modelling systems whose structure evolves over time, incorporating changes in nodes and edges to capture temporal patterns. Link prediction ...

Robots, augmented reality headsets, and warehouse automation systems all share a deceptively simple need: knowing exactly ...

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 ...