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

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

4 November 2021

Yang Liu

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

6 / 6 papers shown

Title
DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks Yu Qiao Lina Gong Yu Zhao Y. Wang Mingqiang Wei 38 0 0 25 Oct 2024
Enhancing Security Patch Identification by Capturing Structures in Commits Bozhi Wu Shangqing Liu Ruitao Feng Xiaofei Xie J. Siow Shang-Wei Lin 17 30 0 19 Jul 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 201 1,451 0 02 Sep 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 190 853 0 09 Feb 2021
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 245 1,417 0 22 Aug 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,687 0 17 Aug 2015