Matthew Overlan

Title: Matthew Overlan and His Work on Dynamic Graph Predictions.

Introduction

Matthew Overlan is an inventor associated with London, United Kingdom. His patent work focuses on using dynamic graphs and graph neural networks to generate predictions about sets of entities.

Latest Patents

Overlan is associated with 1 patent: “Generating Prediction Outputs Using Dynamic Graphs.” The invention describes methods and systems that represent entities as nodes in a graph, with edges connecting pairs of nodes and embeddings representing each node. At successive time steps, a graph neural network processes the graph to update node embeddings, and the graph’s edges are updated based at least in part on those embeddings. The system can then generate prediction outputs about the entities using the current node embeddings.

Career Highlights

The available information associates Overlan with Gdm Holding LLC. His patent describes an approach to prediction that adapts both entity representations and graph connections over time.

Collaborations

Overlan’s listed coworkers include Petar Velickovic and Charles Blundell.

Conclusion

Matthew Overlan’s patent work centers on dynamic graph methods that update relationships and entity representations to support prediction, reflecting an application of graph neural networks to evolving data.