"Robust fused hypergraph neural networks for multi-label classification" by Kaixiang Wang, Ming Yang et al.
Deep neural networks have been adopted in multi-label classification for their excellent performance, however, existing methods fail to comprehensively utilize the high-order correlations between instances and the high-order correlations between labels, and these methods are difficult to deal with label noise effectively. We propose a novel end-to-end deep framework named Robust Fused Hypergraph Neural Networks for Multi-Label Classification (RFHNN), which can effectively utilize the two kinds o...
Robust Fused Hypergraph Neural Networks For Multi Hypergraph Neural Networks Hnns Robust Fused Hypergraph Neural Networks Multi Label Classification Hypergraph Neural Networks Fused Hypergraph Neural Network
Source: uow.edu.au