Learning Semantic Program Embeddings with Graph Interval Neural Network

18 May 2020

Papers citing "Learning Semantic Program Embeddings with Graph Interval Neural Network"

22 / 22 papers shown

Title
StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model Yuan Jiang Yujian Zhang Xiaohong Su Christoph Treude Tiantian Wang 50 0 0 08 Oct 2024
Graph Neural Networks For Mapping Variables Between Programs -- Extended Version Pedro Orvalho Jelle Piepenbrock Mikolávs Janota Vasco M. Manquinho 39 0 0 24 Jul 2023
Code Execution with Pre-trained Language Models Chenxiao Liu Shuai Lu Weizhu Chen Daxin Jiang Alexey Svyatkovskiy Shengyu Fu Neel Sundaresan Nan Duan ELM 30 21 0 08 May 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
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code Aftab Hussain Md Rafiqul Islam Rabin Bowen Xu David Lo Mohammad Amin Alipour 42 3 0 08 Mar 2023
Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks D. Pasechnyuk Anton Prazdnichnykh Mikhail Evtikhiev T. Bryksin 32 1 0 06 Mar 2023
Perfect is the enemy of test oracle Ali Reza Ibrahimzada Yigit Varli Dilara Tekinoglu Reyhaneh Jabbarvand ELM AAML VLM 29 20 0 03 Feb 2023
CLAWSAT: Towards Both Robust and Accurate Code Models Jinghan Jia Shashank Srikant Tamara Mitrovska Chuang Gan Shiyu Chang Sijia Liu Una-May O’Reilly AAML 15 11 0 21 Nov 2022
A Novel Feature Representation for Malware Classification John Musgrave T. Kebede David Kapp Anca L. Ralescu 14 1 0 18 Oct 2022
Empirical Network Structure of Malicious Programs John Musgrave A. Campan T. Kebede David Kapp Anca L. Ralescu 19 2 0 14 Oct 2022
Infrared: A Meta Bug Detector Chi Zhang Yu Wang Linzhang Wang 31 1 0 18 Sep 2022
A Library for Representing Python Programs as Graphs for Machine Learning David Bieber Kensen Shi Petros Maniatis Charles Sutton Vincent J. Hellendoorn Daniel D. Johnson Daniel Tarlow GNN AI4CE 30 5 0 15 Aug 2022
Code Generation Tools (Almost) for Free? A Study of Few-Shot, Pre-Trained Language Models on Code Patrick Bareiss Beatriz Souza Marcelo d’Amorim Michael Pradel ELM 16 78 0 02 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
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition Rishab Sharma Fuxiang Chen Fatemeh H. Fard 47 2 0 05 Apr 2022
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements Yangruibo Ding Sahil Suneja Yunhui Zheng Jim Laredo Alessandro Morari Gail E. Kaiser Baishakhi Ray AAML 22 48 0 20 Dec 2021
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 62 705 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 15 21 0 20 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
WheaCha: A Method for Explaining the Predictions of Models of Code Yu Wang Ke Wang Linzhang Wang FAtt 18 3 0 09 Feb 2021
Learning to Represent Programs with Heterogeneous Graphs Kechi Zhang Wenhan Wang Huangzhao Zhang Ge Li Zhi Jin GNN 21 63 0 08 Dec 2020
sk_p: a neural program corrector for MOOCs Yewen Pu Karthik R. Narasimhan Armando Solar-Lezama Regina Barzilay 37 120 0 11 Jul 2016