Vertex

Storing a graph with 100 billion edges requires 800 GB of memory. Just for the 64-bit large integer IDs. Before a single feature is loaded. That is the reality of industrial-scale Graph Neural Networks. And it is exactly why most GNN research never reaches production. Snapchat built a framework called GiGL (Gigantic Graph Learning) that runs GNNs on graphs with 900 million nodes and 16.8 billion edges. End-to-end, in under 12 hours and every day. # The gap between research and production is n