Hypergraph-Mlp: learning on hypergraphs without message passing
Hypergraphs are vital in modelling data with higher-order relations containing more than two entities, gaining prominence in machine learning and signal processing. Many hypergraph neural networks leverage message passing over hypergraph structures to enhance node representation learning, yielding i...
| Main Authors: | , , |
|---|---|
| 格式: | Conference item |
| 語言: | English |
| 出版: |
IEEE
2024
|