2 citations · 3 across the 11 of their papers we have counts for
3 papers · 1 filter
Learning Code Preference via Synthetic Evolution
Jiawei Liu, Thanh Nguyen, Mingyue Shang +5
Large Language Models (LLMs) have recently demonstrated remarkable coding capabilities. However, assessing code generation based on well-formed properties and aligning it with deve…
xNeuSM: Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks
Duc Q. Nguyen, Thanh Toan Nguyen, Tho quan
Subgraph matching is a challenging problem with a wide range of applications in database systems, biochemistry, and cognitive science. It involves determining whether a given query…
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…