Centrality Learning: Auralization and Route Fitting
Developing a tailor-made centrality measure for a given task requires domain- and network-analysis expertise, as well as time and effort. Thus, automatically learning arbitrary centrality measures for providing ground-truth node scores is an important research direction. We propose a generic deep-le...
| Published in: | Entropy |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/25/8/1115 |