18 citations · 41 across the 5 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.LG2021★ 12 cited
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Graph is an usual representation of relational data, which are ubiquitous in manydomains such as molecules, biological and social networks. A popular approach to learningwith graph…
cs.AI2021★ 18 cited
A generative model for molecule generation based on chemical reaction trees
Dai Hai Nguyen, Koji Tsuda
Deep generative models have been shown powerful in generating novel molecules with desired chemical properties via their representations such as strings, trees or graphs. However,…