29 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold
Tuc Nguyen-Van, Dung D. Le, The-Anh Ta
In graph representation learning, it is important that the complex geometric structure of the input graph, e.g. hidden relations among nodes, is well captured in embedding space. H…
cs.IR2023★ 1 cited
Improving Items and Contexts Understanding with Descriptive Graph for Conversational Recommendation
Huy Dao, Dung D. Le, Cuong Chu
State-of-the-art methods on conversational recommender systems (CRS) leverage external knowledge to enhance both items' and contextual words' representations to achieve high qualit…
eess.IV2020★ 29 cited
VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations
Ha Q. Nguyen, Khanh Lam, Linh T. Le +21
Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learn…