Heterogeneous hypernetwork representation learning with feature awareness
Abstract Most existing methods for heterogeneous hypernetwork representation learning overlook the intricate correlations between the hyperedges and among the constituent nodes, where the hyperedges represent explicit higher-order tuple relationships. To address this limitation, we propose HRFA, a n...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer
2026-05-01
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| Edice: | Discover Computing |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/s10791-026-10118-9 |
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