Static-Graph Estimation in Hybrid GNNs Using Behavioral-Similarity and Clustering-Based Methods
Hybrid GNNs, which learn both long-term structural information encoded in static graphs and temporal interactions within dynamic graphs, have attracted attention for their high predictive accuracy. In practical applications, however, the static relational data required as part of the input is not al...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2026-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11435972/ |
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