5 citations · 9 across the 12 of their papers we have counts for
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cs.LG2022★ 1 cited
Learning Graph Algorithms With Recurrent Graph Neural Networks
Florian Grötschla, Joël Mathys, Roger Wattenhofer
Classical graph algorithms work well for combinatorial problems that can be thoroughly formalized and abstracted. Once the algorithm is derived, it generalizes to instances of any…
cs.LG2022
Hierarchical Graph Structures for Congestion and ETA Prediction
Florian Grötschla, Joël Mathys
Traffic4cast is an annual competition to predict spatio temporal traffic based on real world data. We propose an approach using Graph Neural Networks that directly works on the roa…