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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 combina
by teleforce 3y ago
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_Convolutional_Recurrent_Neural_Network_Data-Driven_Traffic_Forecasting https://www.researchgate.net/publication/318316069_Graph_Con...
- dil8 3y agoI 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 https://arxiv.org/abs/2310.15978