Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree

20 February 2020

Xin Xia

Papers citing "Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree"

26 / 26 papers shown

Title
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks Kang Yang Xinjun Mao Shangwen Wang Y. Wang Tanghaoran Zhang Bo Lin Yihao Qin Zhang Zhang Yao Lu Kamal Al-Sabahi ALM 146 1 0 28 Apr 2025
Poisoned Source Code Detection in Code Models Ehab Ghannoum Mohammad Ghafari AAML 65 0 0 19 Feb 2025
SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors Bohan Lyu Siqiao Huang Zichen Liang Qi-An Sun Jiaming Zhang ELM LRM 55 0 0 16 Feb 2025
The Struggles of LLMs in Cross-lingual Code Clone Detection Micheline Bénédicte Moumoula A. Kaboré Jacques Klein Tegawende F. Bissyande 109 1 0 08 Aug 2024
Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance Jiri Gesi Iftekhar Ahmed 42 0 0 26 Feb 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 27 20 0 30 Dec 2023
Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi Hyowon Wi Jayoung Kim Yehjin Shin Kookjin Lee Nathaniel Trask Noseong Park 25 4 0 07 Dec 2023
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search Nikita Sorokin Dmitry Abulkhanov Sergey I. Nikolenko Valentin Malykh 21 3 0 19 May 2023
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models Kechi Zhang Zhuo Li Zhi Jin Ge Li 21 7 0 14 Mar 2023
DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode Tiezhu Sun Kevin Allix Kisub Kim Xin Zhou Dongsun Kim David Lo Tegawende F. Bissyande Jacques Klein 18 11 0 12 Dec 2022
Poison Attack and Defense on Deep Source Code Processing Models Jia Li Zhuo Li Huangzhao Zhang Ge Li Zhi Jin Xing Hu Xin Xia AAML 35 16 0 31 Oct 2022
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure Nuo Chen Qiushi Sun Renyu Zhu Xiang Li Xuesong Lu Ming Gao 36 10 0 07 Oct 2022
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks H. Samoaa Antonio Longa Mazen Mohamad M. Chehreghani Philipp Leitner GNN 19 9 0 25 Aug 2022
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors Renyu Zhu Lei Yuan Xiang Li Ming Gao Wenyuan Cai 19 8 0 10 May 2022
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks David Hin Andrey Kan Huaming Chen M. Babar 26 158 0 10 Mar 2022
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective Erfan Al-Hossami Samira Shaikh 26 6 0 10 Feb 2022
AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees Rong Liang Tiehu Zhang Y. Lu Yuze Liu Zhengqing Huang Xin Chen 14 3 0 20 Jan 2022
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding Deze Wang Zhouyang Jia Shanshan Li Yue Yu Yun Xiong Wei Dong Xiangke Liao 25 80 0 04 Dec 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 235 1,489 0 02 Sep 2021
On Multi-Modal Learning of Editing Source Code Saikat Chakraborty Baishakhi Ray KELM 16 58 0 15 Aug 2021
How could Neural Networks understand Programs? Dinglan Peng Shuxin Zheng Yatao Li Guolin Ke Di He Tie-Yan Liu NAI 13 61 0 10 May 2021
Code Structure Guided Transformer for Source Code Summarization Shuzheng Gao Cuiyun Gao Yulan He Jichuan Zeng L. Nie Xin Xia Michael R. Lyu 17 96 0 19 Apr 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages Baptiste Roziere Marie-Anne Lachaux Marc Szafraniec Guillaume Lample AI4CE 44 136 0 15 Feb 2021
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees Nghi D. Q. Bui Yijun Yu Lingxiao Jiang SSL 28 104 0 13 Dec 2020
Learning to Represent Programs with Heterogeneous Graphs Kechi Zhang Wenhan Wang Huangzhao Zhang Ge Li Zhi Jin GNN 14 63 0 08 Dec 2020
GraphCodeBERT: Pre-training Code Representations with Data Flow Daya Guo Shuo Ren Shuai Lu Zhangyin Feng Duyu Tang ... Dawn Drain Neel Sundaresan Jian Yin Daxin Jiang M. Zhou 56 1,094 0 17 Sep 2020