Graph Machine Learning at AirBnB

Devin Soni from the engineering team of AirBnB wrote a Medium post on scaling GNNs to industrial-scale graphs. In summary, they use the framework of SIGN (Scalable Inception Graph Networks) and SGC (Simplified GCNs). SIGN pre-computes powers of the adjacency matrix before optimization whereas SGC collapses different layer weights and non-linearities into a single feature propagation step. Conceptually, the approach should be quite fast and scalable, although there are no experimental numbers in the post. Still, great to see recent advancements in scaling GNNs to industrial use-cases!