Learning to Represent Programs with Graphs

1 November 2017

Papers citing "Learning to Represent Programs with Graphs"

50 / 138 papers shown

Title
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
Leveraging Automated Unit Tests for Unsupervised Code Translation Baptiste Roziere Jie M. Zhang François Charton Mark Harman Gabriel Synnaeve Guillaume Lample 38 112 0 13 Oct 2021
Learning to Describe Solutions for Bug Reports Based on Developer Discussions Sheena Panthaplackel Junjie Li Miloš Gligorić Raymond J. Mooney LMTD 28 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 23 36 0 08 Oct 2021
What do pre-trained code models know about code? Anjan Karmakar Romain Robbes ELM 32 88 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 27 206 0 24 Jul 2021
DeepMutants: Training neural bug detectors with contextual mutations Cedric Richter Heike Wehrheim 24 3 0 14 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 59 95 0 01 Jul 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 42 131 0 11 Jun 2021
Understanding Neural Code Intelligence Through Program Simplification Md Rafiqul Islam Rabin Vincent J. Hellendoorn Mohammad Amin Alipour AAML 49 59 0 07 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 60 1,025 0 30 May 2021
Self-Supervised Bug Detection and Repair Miltiadis Allamanis Henry Jackson-Flux Marc Brockschmidt 26 103 0 26 May 2021
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons Dawn Drain Colin B. Clement Guillermo Serrato Neel Sundaresan 25 31 0 19 May 2021
How could Neural Networks understand Programs? Dinglan Peng Shuxin Zheng Yatao Li Guolin Ke Di He Tie-Yan Liu NAI 23 62 0 10 May 2021
Graph Learning: A Survey Feng Xia Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 34 345 0 03 May 2021
Toward Code Generation: A Survey and Lessons from Semantic Parsing Celine Lee Justin Emile Gottschlich Dan Roth Intel Labs 3DV 35 15 0 26 Apr 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 49 11 0 21 Apr 2021
Code Structure Guided Transformer for Source Code Summarization Shuzheng Gao Cuiyun Gao Yulan He Jichuan Zeng L. Nie Xin Xia Michael R. Lyu 24 96 0 19 Apr 2021
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews M. Hadi Fatemeh H. Fard 26 30 0 12 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio Nicholas D. Lane 51 34 0 03 Apr 2021
PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code Egor Spirin Egor Bogomolov V. Kovalenko T. Bryksin 41 15 0 23 Mar 2021
Project-Level Encoding for Neural Source Code Summarization of Subroutines Aakash Bansal S. Haque Collin McMillan 14 48 0 22 Mar 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs Yanlin Wang Hui Li 15 85 0 17 Mar 2021
Learning to Make Compiler Optimizations More Effective Rahim Mammadli Marija Selakovic F. Wolf Michael Pradel 21 13 0 24 Feb 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages Baptiste Roziere Marie-Anne Lachaux Marc Szafraniec Guillaume Lample AI4CE 52 138 0 15 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 41 249 0 12 Feb 2021
Learning Structural Edits via Incremental Tree Transformations Ziyu Yao Frank F. Xu Pengcheng Yin Huan Sun Graham Neubig CLL 157 27 0 28 Jan 2021
Code Summarization with Structure-induced Transformer Hongqiu Wu Hai Zhao Min Zhang 41 84 0 29 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 30 117 0 16 Dec 2020
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity Kexin Pei Zhou Xuan Junfeng Yang Suman Jana Baishakhi Ray 27 89 0 16 Dec 2020
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees Nghi D. Q. Bui Yijun Yu Lingxiao Jiang SSL 44 104 0 13 Dec 2020
Learning to Represent Programs with Heterogeneous Graphs Kechi Zhang Wenhan Wang Huangzhao Zhang Ge Li Zhi Jin GNN 21 63 0 08 Dec 2020
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization Sahil Suneja Yunhui Zheng Yufan Zhuang Jim Laredo Alessandro Morari AAML 32 33 0 25 Nov 2020
Neural Software Analysis Michael Pradel S. Chandra NAI 39 33 0 16 Nov 2020
Pointing to Subwords for Generating Function Names in Source Code Shogo Fujita Hidetaka Kamigaito Hiroya Takamura Manabu Okumura 19 2 0 09 Nov 2020
Deep Graph Matching and Searching for Semantic Code Retrieval Xiang Ling Lingfei Wu Sai-gang Wang Gaoning Pan Tengfei Ma Fangli Xu A. Liu Chunming Wu S. Ji GNN 39 91 0 24 Oct 2020
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks David Bieber Charles Sutton Hugo Larochelle Daniel Tarlow GNN 27 43 0 23 Oct 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 93 1,102 0 17 Sep 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 26 111 0 14 Sep 2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis Ashley Ge Zhang Michael Merrill Yang Liu Jeffrey Heer Tim Althoff ViT 28 13 0 28 Aug 2020
Static Neural Compiler Optimization via Deep Reinforcement Learning Rahim Mammadli Ali Jannesari F. Wolf 33 30 0 20 Aug 2020
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 30 90 0 31 Jul 2020
CoreGen: Contextualized Code Representation Learning for Commit Message Generation L. Nie Cuiyun Gao Zhicong Zhong Wai Lam Yang Liu Zenglin Xu 29 46 0 14 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 56 147 0 13 Jul 2020
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN Shangqing Liu Yu Chen Xiaofei Xie J. Siow Yang Liu 23 164 0 09 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 52 665 0 09 Jun 2020
A Structural Model for Contextual Code Changes Shaked Brody Uri Alon Eran Yahav KELM 27 7 0 27 May 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback Michihiro Yasunaga Percy Liang LRM 37 172 0 20 May 2020
Learning Semantic Program Embeddings with Graph Interval Neural Network Yu Wang Fengjuan Gao Linzhang Wang Ke Wang GNN 19 63 0 18 May 2020