13 citations · 20 across the 8 of their papers we have counts for
4 papers · 1 filter
INGREX: An Interactive Explanation Framework for Graph Neural Networks
Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li +1
Graph Neural Networks (GNNs) are widely used in many modern applications, necessitating explanations for their decisions. However, the complexity of GNNs makes it difficult to expl…
Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation
Tien-Cuong Bui, Van-Duc Le, Wen-syan Li +1
Graph Neural Networks (GNNs) have become increasingly ubiquitous in numerous applications and systems, necessitating explanations of their predictions, especially when making criti…
Spatiotemporal deep learning model for citywide air pollution interpolation and prediction
Van-Duc Le, Tien-Cuong Bui, Sang Kyun Cha
Recently, air pollution is one of the most concerns for big cities. Predicting air quality for any regions and at any time is a critical requirement of urban citizens. However, air…
A Deep Learning Approach for Forecasting Air Pollution in South Korea Using LSTM
Tien-Cuong Bui, Van-Duc Le, Sang-Kyun Cha
Tackling air pollution is an imperative problem in South Korea, especially in urban areas, over the last few years. More specially, South Korea has joined the ranks of the world's…