3 citations · 8 across the 9 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023
Graph Rewriting for Graph Neural Networks
Adam Machowczyk, Reiko Heckel
Given graphs as input, Graph Neural Networks (GNNs) support the inference of nodes, edges, attributes, or graph properties. Graph Rewriting investigates the rule-based manipulation…
cs.LO2023
Stochastic Decision Petri Nets
Florian Wittbold, Rebecca Bernemann, Reiko Heckel +2
We introduce stochastic decision Petri nets (SDPNs), which are a form of stochastic Petri nets equipped with rewards and a control mechanism via the deactivation of controllable tr…