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...
Հիմնական հեղինակներ: | Bai, S, Zhang, F, Torr, PHS |
---|---|
Ձևաչափ: | Journal article |
Լեզու: | English |
Հրապարակվել է: |
Elseveir
2020
|
Նմանատիպ նյութեր
-
Link Prediction in Knowledge Hypergraph Combining Attention and Convolution Network
: PANG Jun, XU Hao, QIN Hongchao, LIN Xiaoli, LIU Xiaoqi, WANG Guoren
Հրապարակվել է: (2023-11-01) -
Decomposing hypergraphs into k-colorable hypergraphs
: Gholamreza Omidi, և այլն
Հրապարակվել է: (2014-06-01) -
An analytic approach to sparse hypergraphs: hypergraph removal
: Henry Towsner
Հրապարակվել է: (2018-01-01) -
Hypergraph and Uncertain Hypergraph Representation Learning Theory and Methods
: Liyan Zhang, և այլն
Հրապարակվել է: (2022-06-01) -
Hypergraph-Mlp: learning on hypergraphs without message passing
: Tang, B, և այլն
Հրապարակվել է: (2024)