19 citations · 34 across the 11 of their papers we have counts for
6 papers · 1 filter
Noise-robust classification with hypergraph neural network
Nguyen Trinh Vu Dang, Loc Tran, Linh Tran
This paper presents a novel version of the hypergraph neural network method. This method is utilized to solve the noisy label learning problem. First, we apply the PCA dimensional…
Directed hypergraph neural network
Loc Hoang Tran, Linh Hoang Tran
To deal with irregular data structure, graph convolution neural networks have been developed by a lot of data scientists. However, data scientists just have concentrated primarily…
Solve fraud detection problem by using graph based learning methods
Loc Tran, Tuan Tran, Linh Tran +1
The credit cards' fraud transactions detection is the important problem in machine learning field. To detect the credit cards's fraud transactions help reduce the significant loss…
Un-normalized hypergraph p-Laplacian based semi-supervised learning methods
Loc Hoang Tran, Linh Hoang Tran
Most network-based machine learning methods assume that the labels of two adjacent samples in the network are likely to be the same. However, assuming the pairwise relationship bet…
Hypergraph based semi-supervised learning algorithms applied to speech recognition problem: a novel approach
Loc Hoang Tran, Trang Hoang, Bui Hoang Nam Huynh
Most network-based speech recognition methods are based on the assumption that the labels of two adjacent speech samples in the network are likely to be the same. However, assuming…
Hypergraph and protein function prediction with gene expression data
Loc Tran
Most network-based protein (or gene) function prediction methods are based on the assumption that the labels of two adjacent proteins in the network are likely to be the same. Howe…