3 citations · 7 across the 9 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2025★ 1 cited
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
Van Thuy Hoang, Hyeon-Ju Jeon, O-Joun Lee
Graph Neural Networks (GNNs) update node representations through message passing, which is primarily based on the homophily principle, assuming that adjacent nodes share similar fe…
cs.AI2023★ 3 cited
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…