3 citations · 7 across the 7 of their papers we have counts for
8 papers
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…
Machine Learning-based Selection of Graph Partitioning Strategy Using the Characteristics of Graph Data and Algorithm
YoungJoon Park, DongKyu Lee, Tien-Cuong Bui
Analyzing large graph data is an essential part of many modern applications, such as social networks. Due to its large computational complexity, distributed processing is frequentl…
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…
STAR: Spatio-Temporal Prediction of Air Quality Using A Multimodal Approach
Tien-Cuong Bui, Joonyoung Kim, Taewoo Kang +5
With the increase of global economic activities and high energy demand, many countries have raised concerns about air pollution. However, air quality prediction is a challenging is…
An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios
Jungwoo Pyo, Joohyun Lee, Youngjune Park +2
A speaker naming task, which finds and identifies the active speaker in a certain movie or drama scene, is crucial for dealing with high-level video analysis applications such as a…