2 citations · 3 across the 12 of their papers we have counts for
4 papers · 1 filter
Generating Temporal Contact Graphs Using Random Walkers
Anton-David Almasan, Sergey Shvydun, Ingo Scholtes +1
We study human mobility networks through timeseries of contacts between individuals. Our proposed Random Walkers Induced temporal Graph (RWIG) model generates temporal graph sequen…
MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length
Jan von Pichowski, Christopher Blöcker, Ingo Scholtes
Graph pooling compresses graphs and summarises their topological properties and features in a vectorial representation. It is an essential part of deep graph representation learnin…
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning
Moritz Lampert, Christopher Blöcker, Ingo Scholtes
Dynamic link prediction is an important problem considered in many recent works that propose approaches for learning temporal edge patterns. To assess their efficacy, models are ev…
Flow Divergence: Comparing Maps of Flows with Relative Entropy
Christopher Blöcker, Ingo Scholtes
Networks represent how the entities of a system are connected and can be partitioned differently, prompting ways to compare partitions. Common approaches for comparing network part…