Hypergraph convolution and hypergraph attention
Recently, graph neural networks have attracted great attention and achieved prominent performance in various research fields. Most of those algorithms have assumed pairwise relationships of objects of interest. However, in many real applications, the relationships between objects are in higher-order...
Hoofdauteurs: | Bai, S, Zhang, F, Torr, PHS |
---|---|
Formaat: | Journal article |
Taal: | English |
Gepubliceerd in: |
Elseveir
2020
|
Gelijkaardige items
-
Link Prediction in Knowledge Hypergraph Combining Attention and Convolution Network
door: PANG Jun, XU Hao, QIN Hongchao, LIN Xiaoli, LIU Xiaoqi, WANG Guoren
Gepubliceerd in: (2023-11-01) -
Decomposing hypergraphs into k-colorable hypergraphs
door: Gholamreza Omidi, et al.
Gepubliceerd in: (2014-06-01) -
An analytic approach to sparse hypergraphs: hypergraph removal
door: Henry Towsner
Gepubliceerd in: (2018-01-01) -
Hypergraph and Uncertain Hypergraph Representation Learning Theory and Methods
door: Liyan Zhang, et al.
Gepubliceerd in: (2022-06-01) -
Hypergraph-Mlp: learning on hypergraphs without message passing
door: Tang, B, et al.
Gepubliceerd in: (2024)