3 citations · 9 across the 10 of their papers we have counts for
4 papers · 1 filter
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures
Van Thuy Hoang, O-Joun Lee
This study utilizes community structures to address node degree biases in message-passing (MP) via learnable graph augmentations and novel graph transformers. Recent augmentation-b…
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning
Van Thuy Hoang, Sang Thanh Nguyen, Sangmyeong Lee +3
Knowledge graph (KG) embedding has been used to benefit the diagnosis of animal diseases by analyzing electronic medical records (EMRs), such as notes and veterinary records. Howev…
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity
Van Thuy Hoang, O-Joun Lee
Graph representation learning (GRL) methods, such as graph neural networks and graph transformer models, have been successfully used to analyze graph-structured data, mainly focusi…
Connector 0.5: A unified framework for graph representation learning
Thanh Sang Nguyen, Jooho Lee, Van Thuy Hoang +1
Graph representation learning models aim to represent the graph structure and its features into low-dimensional vectors in a latent space, which can benefit various downstream task…