GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search

1 code implementation • 4 Nov 2021 • Shangqing Liu, Xiaofei Xie, JingKai Siow, Lei Ma, Guozhu Meng, Yang Liu

Specifically, we propose to construct graphs for the source code and queries with bidirectional GGNN (BiGGNN) to capture the local structural information of the source code and queries.

Code Search Code Summarization +3

Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

1 code implementation • ICLR 2021 • Shangqing Liu, Yu Chen, Xiaofei Xie, JingKai Siow, Yang Liu

However, automatic code summarization is challenging due to the complexity of the source code and the language gap between the source code and natural language summaries.

Code Summarization Retrieval +1

CORE: Automating Review Recommendation for Code Changes

no code implementations • 20 Dec 2019 • JingKai Siow, Cuiyun Gao, Lingling Fan, Sen Chen, Yang Liu

The hinge of accurate code review suggestion is to learn good representations for both code changes and reviews.

Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

2 code implementations • NeurIPS 2019 • Yaqin Zhou, Shangqing Liu, JingKai Siow, Xiaoning Du, Yang Liu

Vulnerability identification is crucial to protect the software systems from attacks for cyber security.

General Classification