3 citations · 10 across the 5 of their papers we have counts for
5 papers
A Survey on Structure-Preserving Graph Transformers
Van Thuy Hoang, O-Joun Lee
The transformer architecture has shown remarkable success in various domains, such as natural language processing and computer vision. When it comes to graph learning, transformers…
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…
Observation of Brillouin scattering in a high-index doped silica chip waveguide
M. Zerbib, V. T. Hoang, J. C. Beugnot +7
We report the observation of Brillouin backscattering in a 50-cm long spiral high-index doped silica chip waveguide and measured a Brillouin frequency shift of 16 GHz which is in v…
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…