Generative Code Modeling with Graphs

22 May 2018

Papers citing "Generative Code Modeling with Graphs"

50 / 88 papers shown

Title
ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding Indraneil Paul Haoyi Yang Goran Glavas Kristian Kersting Iryna Gurevych AAML SyDa 46 0 0 27 Mar 2025
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection Shenao Yan Shen Wang Yue Duan Hanbin Hong Kiho Lee Doowon Kim Yuan Hong AAML SILM 43 17 0 10 Jun 2024
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators Indraneil Paul Goran Glavas Iryna Gurevych 42 13 0 06 Mar 2024
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models Iakovos Evdaimon Giannis Nikolentzos Michail Chatzianastasis Hadi Abdine Michalis Vazirgiannis DiffM 35 4 0 03 Mar 2024
Graph Diffusion Policy Optimization Yijing Liu Chao Du Tianyu Pang Chongxuan Li Wei Chen Min-Bin Lin 37 7 0 26 Feb 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
Learning Defect Prediction from Unrealistic Data Kamel Alrashedy Vincent J. Hellendoorn Alessandro Orso 16 5 0 02 Nov 2023
Large Language Model-Aware In-Context Learning for Code Generation Jia Li Ge Li Chongyang Tao Jia Li Huangzhao Zhang Fang Liu Zhi Jin 51 28 0 15 Oct 2023
SANGEA: Scalable and Attributed Network Generation Valentin Lemaire Youssef Achenchabe Lucas Ody Houssem Eddine Souid G. Aversano Nicolas Posocco S. Skhiri 25 2 0 27 Sep 2023
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation Qi Yan Zhen-Long Liang Yang Song Renjie Liao Lele Wang DiffM 55 18 0 04 Jul 2023
Guiding Language Models of Code with Global Context using Monitors Lakshya A Agrawal Aditya Kanade Navin Goyal Shuvendu K. Lahiri S. Rajamani 38 23 0 19 Jun 2023
Discrete Graph Auto-Encoder Yoann Boget Magda Gregorova Alexandros Kalousis 18 4 0 13 Jun 2023
Large Language Models of Code Fail at Completing Code with Potential Bugs Tuan Dinh Jinman Zhao Samson Tan Renato M. P. Negrinho Leonard Lausen Sheng Zha George Karypis LRM 34 25 0 06 Jun 2023
Neural Machine Translation for Code Generation K. Dharma Clayton T. Morrison 32 4 0 22 May 2023
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation Wenqing Zheng S. Sharan Ajay Jaiswal Kevin Wang Yihan Xi Dejia Xu Zhangyang Wang 46 24 0 28 Apr 2023
Graph Generation with Diffusion Mixture Jaehyeong Jo Dongki Kim Sung Ju Hwang DiffM 29 19 0 07 Feb 2023
Stealthy Backdoor Attack for Code Models Zhou Yang Bowen Xu Jie M. Zhang Hong Jin Kang Jieke Shi Junda He David Lo AAML 19 65 0 06 Jan 2023
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models Muchen Li Jeffrey Liu Leonid Sigal Renjie Liao GNN 19 4 0 28 Nov 2022
Syntax-Aware On-the-Fly Code Completion Wannita Takerngsaksiri C. Tantithamthavorn Yuankui Li 29 17 0 09 Nov 2022
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 34 0 0 30 Oct 2022
CS1QA: A Dataset for Assisting Code-based Question Answering in an Introductory Programming Course Changyoon Lee Yeon Seonwoo Alice H. Oh 37 11 0 26 Oct 2022
Exploring and Evaluating Personalized Models for Code Generation Andrei Zlotchevski Dawn Drain Alexey Svyatkovskiy Colin B. Clement Neel Sundaresan Michele Tufano 20 11 0 29 Aug 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 Hazard Analysis Framework for Code Synthesis Large Language Models Heidy Khlaaf Pamela Mishkin Joshua Achiam Gretchen Krueger Miles Brundage ELM 17 28 0 25 Jul 2022
DocPrompting: Generating Code by Retrieving the Docs Shuyan Zhou Uri Alon Frank F. Xu Zhiruo Wang Zhengbao Jiang Graham Neubig LLMAG 24 130 0 13 Jul 2022
Heterogeneous Graph Neural Networks for Software Effort Estimation Hung Phan Ali Jannesari 19 8 0 22 Jun 2022
StructCoder: Structure-Aware Transformer for Code Generation Sindhu Tipirneni Ming Zhu Chandan K. Reddy 30 55 0 10 Jun 2022
A Survey of Deep Learning Models for Structural Code Understanding Ruoting Wu Yuxin Zhang Qibiao Peng Liang Chen Zibin Zheng 24 6 0 03 May 2022
GypSum: Learning Hybrid Representations for Code Summarization Yu Wang Yu Dong Xuesong Lu Aoying Zhou 26 22 0 26 Apr 2022
On Distribution Shift in Learning-based Bug Detectors Jingxuan He Luca Beurer-Kellner Martin Vechev 19 18 0 21 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
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 22 210 0 05 Feb 2022
Energy-bounded Learning for Robust Models of Code Nghi D. Q. Bui Yijun Yu OODD 43 2 0 20 Dec 2021
Neural Program Generation Modulo Static Analysis Rohan Mukherjee Yeming Wen Dipak Chaudhari Thomas W. Reps Swarat Chaudhuri C. Jermaine 30 24 0 26 Oct 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
What do pre-trained code models know about code? Anjan Karmakar Romain Robbes ELM 32 87 0 25 Aug 2021
XFL: Naming Functions in Binaries with Extreme Multi-label Learning James Patrick-Evans Moritz Dannehl Johannes Kinder 24 10 0 28 Jul 2021
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models Jingxuan Li Rui Huang Wei Li Kai-Lang Yao Weiguo Tan 27 14 0 26 Jun 2021
Learning to Extend Program Graphs to Work-in-Progress Code Xuechen Li Chris J. Maddison Daniel Tarlow 16 2 0 28 May 2021
Improving Code Autocompletion with Transfer Learning Wenjie Zhou Seohyun Kim V. Murali Gareth Ari Aye 25 14 0 12 May 2021
How could Neural Networks understand Programs? Dinglan Peng Shuxin Zheng Yatao Li Guolin Ke Di He Tie-Yan Liu NAI 18 61 0 10 May 2021
Text2App: A Framework for Creating Android Apps from Text Descriptions Masum Hasan Kazi Sajeed Mehrab Wasi Uddin Ahmad Rifat Shahriyar 22 6 0 16 Apr 2021
Perfection Not Required? Human-AI Partnerships in Code Translation Justin D. Weisz Michael J. Muller Stephanie Houde John T. Richards Steven I. Ross Fernando Martinez Mayank Agarwal Kartik Talamadupula 29 125 0 08 Apr 2021
Embedding API Dependency Graph for Neural Code Generation Chen Lyu Ruyun Wang Hongyu Zhang Hanwen Zhang Songlin Hu GNN 31 20 0 29 Mar 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs Yanlin Wang Hui Li 10 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
Learning Structural Edits via Incremental Tree Transformations Ziyu Yao Frank F. Xu Pengcheng Yin Huan Sun Graham Neubig CLL 154 27 0 28 Jan 2021
Representing Partial Programs with Blended Abstract Semantics Maxwell Nye Yewen Pu Matthew Bowers Jacob Andreas J. Tenenbaum Armando Solar-Lezama NAI 9 23 0 23 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