59 citations · 92 across the 12 of their papers we have counts for
12 papers
Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting
Van-Duc Le, Tien-Cuong Bui, Sang-Kyun Cha
Citywide Air Pollution Forecasting tries to precisely predict the air quality multiple hours ahead for the entire city. This topic is challenged since air pollution varies in a spa…
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…
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes
Tien-Cuong Bui, Wen-syan Li, Sang-Kyun Cha
Graph Neural Networks (GNNs) are widely adopted in advanced AI systems due to their capability of representation learning on graph data. Even though GNN explanation is crucial to i…
Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars
Tien-Cuong Bui, Van-Duc Le, Hai-Thien To +1
Paraphrase generation is a long-standing problem and serves an essential role in many natural language processing problems. Despite some encouraging results, recent methods either…
Compressed Key Sort and Fast Index Reconstruction
Yongsik Kwon, Cheol Ryu, Sang Kyun Cha +3
In this paper we propose an index key compression scheme based on the notion of distinction bits by proving that the distinction bits of index keys are sufficient information to de…