Deep learning on dynamic graphs

Temporal Graph Networks

Many real-world problems involving networks of transactions of various nature and social interactions and engagements are dynamic and can be modelled as graphs where nodes and edges appear over time. In this post, we describe Temporal Graph Network, a generic framework developed at Twitter for deep learning on dynamic graphs.

Michael Bronstein
9 min readJul 27, 2020

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DeepMind Professor of AI @Oxford. Serial startupper. ML for graphs, biochemistry, drug design, and animal communication.