Learning to Represent Programs with Graphs

1 November 2017

Papers citing "Learning to Represent Programs with Graphs"

21 / 121 papers shown

Title
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing Vinoj Jayasundara Nghi D. Q. Bui Lingxiao Jiang David Lo 15 16 0 27 Oct 2019
IR2Vec: LLVM IR based Scalable Program Embeddings Venkata Keerthy Rohit Aggarwal Shalini Jain Maunendra Sankar Ramakrishna Upadrasta Desarkar 21 10 0 13 Sep 2019
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks Yaqin Zhou Shangqing Liu J. Siow Xiaoning Du Yang Liu GNN 11 742 0 08 Sep 2019
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks Dongdong She Yizheng Chen Abhishek Shah Baishakhi Ray Suman Jana 11 44 0 08 Jul 2019
Learning Blended, Precise Semantic Program Embeddings Ke Wang Z. Su NAI 22 25 0 03 Jul 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation Marc Brockschmidt 20 133 0 28 Jun 2019
Fast Training of Sparse Graph Neural Networks on Dense Hardware Matej Balog B. V. Merrienboer Subhodeep Moitra Yujia Li Daniel Tarlow GNN 33 10 0 27 Jun 2019
Learning Execution through Neural Code Fusion Zhan Shi Kevin Swersky Daniel Tarlow Parthasarathy Ranganathan Milad Hashemi GNN 8 29 0 17 Jun 2019
Neural Consciousness Flow Xiaoran Xu Wei Feng Zhiqing Sun Zhihong Deng GNN AI4CE 27 2 0 30 May 2019
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning Lu Chen Zhi Chen Bowen Tan Sishan Long Milica Gasic Kai Yu 19 35 0 27 May 2019
When Deep Learning Met Code Search J. Cambronero Hongyu Li Seohyun Kim Koushik Sen S. Chandra CLIP 24 218 0 09 May 2019
A Literature Study of Embeddings on Source Code Zimin Chen Monperrus Martin 49 82 0 05 Apr 2019
Program Classification Using Gated Graph Attention Neural Network for Online Programming Service Mingming Lu Dingwu Tan N. Xiong Zailiang Chen Haifeng Li 10 11 0 09 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 159 8,356 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,400 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 42 1,321 0 11 Dec 2018
Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning Gil Lederman M. Rabe Edward A. Lee S. Seshia 13 38 0 20 Jul 2018
Neural Code Comprehension: A Learnable Representation of Code Semantics Tal Ben-Nun Alice Shoshana Jakobovits Torsten Hoefler 18 239 0 19 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 106 3,080 0 04 Jun 2018
Generative Code Modeling with Graphs Marc Brockschmidt Miltiadis Allamanis Alexander L. Gaunt Oleksandr Polozov 34 178 0 22 May 2018
Graph Partition Neural Networks for Semi-Supervised Classification Renjie Liao Marc Brockschmidt Daniel Tarlow Alexander L. Gaunt R. Urtasun R. Zemel GNN 22 76 0 16 Mar 2018