Learning to Represent Programs with Graphs

1 November 2017

Papers citing "Learning to Represent Programs with Graphs"

50 / 121 papers shown

Title
Bringing Structure to Naturalness: On the Naturalness of ASTs Profir-Petru Pârţachi Mahito Sugiyama 27 0 0 11 Apr 2025
Detecting Code Vulnerabilities with Heterogeneous GNN Training Yu Luo Weifeng Xu Dianxiang Xu 43 0 0 24 Feb 2025
TCProF: Time-Complexity Prediction SSL Framework Joonghyuk Hahn Hyeseon Ahn Jungin Kim Soohan Lim Yo-Sub Han 49 0 0 10 Feb 2025
Stable Code Technical Report Nikhil Pinnaparaju Reshinth Adithyan Duy Phung J. Tow James Baicoianu ... Maksym Zhuravinskyi Dakota Mahan Marco Bellagente Carlos Riquelme Nathan Cooper LRM ALM 25 13 0 01 Apr 2024
Overcoming Order in Autoregressive Graph Generation Edo Cohen-Karlik Eyal Rozenberg Daniel Freedman 34 1 0 04 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 35 20 0 30 Dec 2023
Transfer Attacks and Defenses for Large Language Models on Coding Tasks Chi Zhang Zifan Wang Ravi Mangal Matt Fredrikson Limin Jia Corina S. Pasareanu AAML SILM 27 1 0 22 Nov 2023
Learning Generalizable Program and Architecture Representations for Performance Modeling Lingda Li T. Flynn A. Hoisie 24 1 0 25 Oct 2023
kTrans: Knowledge-Aware Transformer for Binary Code Embedding Wenyu Zhu Hao Wang Yuchen Zhou Jiaming Wang Zihan Sha Zeyu Gao Chao Zhang 32 10 0 24 Aug 2023
Epicure: Distilling Sequence Model Predictions into Patterns Miltiadis Allamanis Earl T. Barr 18 0 0 16 Aug 2023
AST-MHSA : Code Summarization using Multi-Head Self-Attention Y. Nagaraj U. Gupta 18 1 0 10 Aug 2023
COMEX: A Tool for Generating Customized Source Code Representations Debeshee Das N. Mathews Alex Mathai Srikanth G. Tamilselvam Kranthi Sedamaki S. Chimalakonda Atul Kumar VLM 23 5 0 10 Jul 2023
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review M. Wong Shangxin Guo Ching Nam Hang Siu-Wai Ho C. Tan 42 78 0 04 Jul 2023
Neural Machine Translation for Code Generation K. Dharma Clayton T. Morrison 32 4 0 22 May 2023
Towards Tracing Code Provenance with Code Watermarking Wei Li Borui Yang Yujie Sun Suyu Chen Ziyun Song Liyao Xiang Xinbing Wang Cheng Zhou WaLM 29 6 0 21 May 2023
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification Guang Yang Tiancheng Jin Liang Dou 13 2 0 07 May 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 20 3 0 25 Mar 2023
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models Kechi Zhang Zhuo Li Zhi Jin Ge Li 29 7 0 14 Mar 2023
xASTNN: Improved Code Representations for Industrial Practice Zhiwei Xu Min Zhou Xibin Zhao Yang Chen Xi Cheng Hongyu Zhang AI4TS 29 5 0 13 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 29 507 0 07 Mar 2023
ChatGPT and Software Testing Education: Promises & Perils Sajed Jalil Suzzana Rafi Thomas D. Latoza Kevin Moran Wing Lam ELM 20 171 0 07 Feb 2023
Transformers Meet Directed Graphs Simon Geisler Yujia Li D. Mankowitz A. Cemgil Stephan Günnemann Cosmin Paduraru 27 35 0 31 Jan 2023
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning Wenting Zhao Ibrahim Abdelaziz Julian T Dolby Kavitha Srinivas M. Helali Essam Mansour 24 0 0 05 Jan 2023
JEMMA: An Extensible Java Dataset for ML4Code Applications Anjan Karmakar Miltiadis Allamanis Romain Robbes VLM 23 3 0 18 Dec 2022
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection Benjamin Steenhoek Hongyang Gao Wei Le 43 27 0 15 Dec 2022
A Survey on Natural Language Processing for Programming Qingfu Zhu Xianzhen Luo Fang Liu Cuiyun Gao Wanxiang Che 25 1 0 12 Dec 2022
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation O. Sýkora P. Phothilimthana Charith Mendis Amir Yazdanbakhsh GNN 45 21 0 08 Oct 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation Zeming Dong Qiang Hu Yuejun Guo Maxime Cordy Mike Papadakis Zhenya Zhang Yves Le Traon Jianjun Zhao 31 8 0 06 Oct 2022
Infrared: A Meta Bug Detector Chi Zhang Yu Wang Linzhang Wang 25 1 0 18 Sep 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
Enhancing Security Patch Identification by Capturing Structures in Commits Bozhi Wu Shangqing Liu Ruitao Feng Xiaofei Xie J. Siow Shang-Wei Lin 30 30 0 19 Jul 2022
What does Transformer learn about source code? Kechi Zhang Ge Li Zhi Jin ViT 22 8 0 18 Jul 2022
Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora An Dau Thang Nguyen-Duc Hoang Thanh-Tung Nghi D. Q. Bui TDI 13 4 0 25 May 2022
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations Xiaoyu Liu Jinu Jang Neel Sundaresan Miltiadis Allamanis Alexey Svyatkovskiy 16 2 0 23 May 2022
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors Renyu Zhu Lei Yuan Xiang Li Ming Gao Wenyuan Cai 29 8 0 10 May 2022
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition Rishab Sharma Fuxiang Chen Fatemeh H. Fard 39 2 0 05 Apr 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 31 67 0 13 Mar 2022
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks David Hin Andrey Kan Huaming Chen M. Babar 28 158 0 10 Mar 2022
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions David Bieber Rishab Goel Daniel Zheng Hugo Larochelle Daniel Tarlow 16 15 0 07 Mar 2022
Neural Program Repair: Systems, Challenges and Solutions Wenkang Zhong Chuanyi Li Jidong Ge B. Luo 23 13 0 22 Feb 2022
Assemble Foundation Models for Automatic Code Summarization Jian Gu P. Salza H. Gall 33 34 0 13 Jan 2022
Show Your Work: Scratchpads for Intermediate Computation with Language Models Maxwell Nye Anders Andreassen Guy Gur-Ari Henryk Michalewski Jacob Austin ... Aitor Lewkowycz Maarten Bosma D. Luan Charles Sutton Augustus Odena ReLM LRM 57 702 0 30 Nov 2021
Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks Zhehao Zhao Bo Yang Ge Li Huai Liu Zhi Jin 8 21 0 20 Nov 2021
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code Md Rafiqul Islam Rabin Mohammad Amin Alipour 27 5 0 01 Nov 2021
A Survey on Machine Learning Techniques for Source Code Analysis Tushar Sharma M. Kechagia Stefanos Georgiou Rohit Tiwari Indira Vats Hadi Moazen Federica Sarro 25 61 0 18 Oct 2021
Learning to Describe Solutions for Bug Reports Based on Developer Discussions Sheena Panthaplackel J. Li Miloš Gligorić Raymond J. Mooney LMTD 24 10 0 08 Oct 2021
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts Yangruibo Ding Luca Buratti Saurabh Pujar Alessandro Morari Baishakhi Ray Saikat Chakraborty 21 36 0 08 Oct 2021
What do pre-trained code models know about code? Anjan Karmakar Romain Robbes ELM 32 87 0 25 Aug 2021
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection Zhenguang Liu Peng Qian Xiaoyang Wang Yuan Zhuang Lin Qiu Xun Wang 11 205 0 24 Jul 2021
DeepMutants: Training neural bug detectors with contextual mutations Cedric Richter Heike Wehrheim 19 3 0 14 Jul 2021