52 citations · 150 across the 20 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.DS2022★ 1 cited
Computing -Bisimulations for Large Graphs: A Comparison and Efficiency Analysis
Jannik Rau, David Richerby, Ansgar Scherp
Summarizing graphs w.r.t. structural features is important to reduce the graph's size and make tasks like indexing, querying, and visualization feasible. Our generic parallel BRS a…
cs.LG2022
Graph Summarization with Graph Neural Networks
Maximilian Blasi, Manuel Freudenreich, Johannes Horvath +2
The goal of graph summarization is to represent large graphs in a structured and compact way. A graph summary based on equivalence classes preserves pre-defined features of a graph…