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Ingo Scholtes

2 accepted papers

2024

The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks

NeurIPS 2024poster

Community detection is an essential tool for unsupervised data exploration and revealing the organisational structure of networked systems. With a long history in network science, community detection typically relies on objective functions, optimised with custom-tailored search algorithms, but often…

2024

Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs

NeurIPS 2024poster

Node centralities play a pivotal role in network science, social network analysis, and recommender systems. In temporal data, static path-based centralities like closeness or betweenness can give misleading results about the true importance of nodes in a temporal graph. To address this issue, tempor…