Readit Newsdil8 commented on GraphCast: AI model for weather forecasting deepmind.google/discover/... · Posted by u/bretthoerner
What's the difference between a "Graph Neural Network" and a deep neural network?
Graph neural networks are deep learning models that trained on graph data.
dil8 commented on How big data carried graph theory into new dimensions quantamagazine.org/how-bi... · Posted by u/rbanffy
I think space-time/spatial-time/spatiotemporal is the next frontier for AI. For spatial data you use GCN and for time-series you can use Transformer, or combination thereof. You can find many recent works on this area especially in the ITS field for forecasting and prediction. One of the seminal papers using GCN:
Graph Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting:
https://www.researchgate.net/publication/318316069_Graph_Con...
I agree, combining GNNs with temporal signals and dynamics graphs make them so expressive.
Another great recent paper on this topic https://arxiv.org/abs/2310.15978