Hypergraph transformer for semi-supervised classification
Hypergraphs play a pivotal role in the modelling of data featuring higher-order relations involving more than two entities. Hypergraph neural networks emerge as a powerful tool for processing hypergraph-structured data, delivering remarkable performance across various tasks, e.g., hypergraph node cl...
Huvudupphovsmän: | Liu, Z, Tang, B, Ye, Z, Dong, X, Chen, S, Wang, Y |
---|---|
Materialtyp: | Conference item |
Språk: | English |
Publicerad: |
IEEE
2024
|
Liknande verk
-
Semi-Supervised Classification via Hypergraph Convolutional Extreme Learning Machine
av: Zhewei Liu, et al.
Publicerad: (2021-04-01) -
Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent
av: Sara Venturini, et al.
Publicerad: (2023-01-01) -
Hypergraph-Mlp: learning on hypergraphs without message passing
av: Tang, B, et al.
Publicerad: (2024) -
Hypergraph based semi-supervised symmetric nonnegative matrix factorization for image clustering
av: Yin, Jingxing, et al.
Publicerad: (2023) -
Hypergraph-Supervised Deep Subspace Clustering
av: Yu Hu, et al.
Publicerad: (2021-12-01)