activity
20122021
most citedApplication of three graph Laplacian based semi-supervised learning methods to protein function prediction problem

19 citations · 34 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2021

Querying Labelled Data with Scenario Programs for Sim-to-Real Validation

Edward Kim, Jay Shenoy, Sebastian Junges +3

Simulation-based testing of autonomous vehicles (AVs) has become an essential complement to road testing to ensure safety. Consequently, substantial research has focused on searchi…

cs.CL2021

Text classification problems via BERT embedding method and graph convolutional neural network

Loc Hoang Tran, Tuan Tran, An Mai

This paper presents the novel way combining the BERT embedding method and the graph convolutional neural network. This combination is employed to solve the text classification prob…

stat.ML2021★ 1 cited

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…

stat.ML2020★ 2 cited

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…

q-fin.ST2019

To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods

Loc Tran, Linh Tran

To detect the irregular trade behaviors in the stock market is the important problem in machine learning field. These irregular trade behaviors are obviously illegal. To detect the…

cs.SI2019★ 3 cited

PageRank algorithm for Directed Hypergraph

Loc Tran, Tho Quan, An Mai

During the last two decades, we easilly see that the World Wide Web's link structure is modeled as the directed graph. In this paper, we will model the World Wide Web's link struct…