Learning to Represent Programs with Graphs

1 November 2017

Papers citing "Learning to Represent Programs with Graphs"

50 / 137 papers shown

Title
Bringing Structure to Naturalness: On the Naturalness of ASTs Profir-Petru Pârţachi Mahito Sugiyama 30 0 0 11 Apr 2025
Detecting Code Vulnerabilities with Heterogeneous GNN Training Yu Luo Weifeng Xu Dianxiang Xu 46 0 0 24 Feb 2025
TCProF: Time-Complexity Prediction SSL Framework Joonghyuk Hahn Hyeseon Ahn Jungin Kim Soohan Lim Yo-Sub Han 51 0 0 10 Feb 2025
On Unified Prompt Tuning for Request Quality Assurance in Public Code Review Xinyu Chen Lin Li Rui Zhang Peng Liang 38 1 0 11 Apr 2024
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 36 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 47 21 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 34 1 0 22 Nov 2023
Learning Generalizable Program and Architecture Representations for Performance Modeling Lingda Li T. Flynn A. Hoisie 32 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 25 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 44 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 32 6 0 21 May 2023
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification Guang Yang Tiancheng Jin Liang Dou 30 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 38 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 34 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 38 509 0 07 Mar 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 27 2 0 17 Feb 2023
ChatGPT and Software Testing Education: Promises & Perils Sajed Jalil Suzzana Rafi Thomas D. Latoza Kevin Moran Wing Lam ELM 36 173 0 07 Feb 2023
Transformers Meet Directed Graphs Simon Geisler Yujia Li D. Mankowitz A. Cemgil Stephan Günnemann Cosmin Paduraru 31 36 0 31 Jan 2023
Stealthy Backdoor Attack for Code Models Zhou Yang Bowen Xu Jie M. Zhang Hong Jin Kang Jieke Shi Junda He David Lo AAML 26 65 0 06 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 32 0 0 05 Jan 2023
JEMMA: An Extensible Java Dataset for ML4Code Applications Anjan Karmakar Miltiadis Allamanis Romain Robbes VLM 29 3 0 18 Dec 2022
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection Benjamin Steenhoek Hongyang Gao Wei Le 43 28 0 15 Dec 2022
A Survey on Natural Language Processing for Programming Qingfu Zhu Xianzhen Luo Fang Liu Cuiyun Gao Wanxiang Che 25 2 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 33 8 0 06 Oct 2022
Infrared: A Meta Bug Detector Chi Zhang Yu Wang Linzhang Wang 31 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 30 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 15 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 21 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
On Distribution Shift in Learning-based Bug Detectors Jingxuan He Luca Beurer-Kellner Martin Vechev 24 18 0 21 Apr 2022
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition Rishab Sharma Fuxiang Chen Fatemeh H. Fard 52 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 36 68 0 13 Mar 2022
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks David Hin Andrey Kan Huaming Chen M. Babar 34 159 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 28 15 0 07 Mar 2022
Neural Program Repair: Systems, Challenges and Solutions Wenkang Zhong Chuanyi Li Jidong Ge B. Luo 27 13 0 22 Feb 2022
Compositionality-Aware Graph2Seq Learning Takeshi D. Itoh Takatomi Kubo K. Ikeda 27 0 0 28 Jan 2022
HEAT: Hyperedge Attention Networks Dobrik Georgiev Marc Brockschmidt Miltiadis Allamanis GNN 32 16 0 28 Jan 2022
Assemble Foundation Models for Automatic Code Summarization Jian Gu P. Salza H. Gall 36 35 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 95 707 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 18 21 0 20 Nov 2021
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search Shangqing Liu Xiaofei Xie J. Siow Lei Ma Guozhu Meng Yang Liu GNN 25 53 0 04 Nov 2021