15 citations · 35 across the 8 of their papers we have counts for
3 papers · 1 filter
Compressing regularized dynamics improves link prediction with the map equation in sparse networks
Maja Lindström, Christopher Blöcker, Tommy Löfstedt +1
Predicting future interactions or novel links in networks is an indispensable tool across diverse domains, including genetic research, online social networks, and recommendation sy…
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…