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20222025
most citedTraffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors

5 citations · 9 across the 12 of their papers we have counts for

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cs.AI2024

GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs

Florian Grötschla, Joël Mathys, Christoffer Raun +1

Many graph algorithms can be viewed as sets of rules that are iteratively applied, with the number of iterations dependent on the size and complexity of the input graph. Existing m…

cs.CG2024★ 2 cited

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs

Florian Grötschla, Joël Mathys, Robert Veres +1

Graph Visualization, also known as Graph Drawing, aims to find geometric embeddings of graphs that optimize certain criteria. Stress is a widely used metric; stress is minimized wh…