chief researcher at https://t.co/85QLNI0SE9 | working at the intersection of business processes, neural network topologies & machine learningerp.ai San Francisco, CAJoined February 2013
GraphCast, Deepmind's weather forecast model is fully GNN based. How? Earth’s atmosphere is a graph.
Nodes = Locations
Edges = Spatial relationships
Features = Temp, wind, pressure
The model learns to forecast weather through GNN message passing, not math-crunching.
Unpopular Opinion (but true):
GNN-Graph Attention Networks (GATs) > Transformers for many real-world domains
Why? Because not everything is a sequence.
- Business Processes
- Knowledge Graphs
- Molecules
- Supply Chains
- Social Networks
These are graphs, not sentences.…
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