Learning to Represent Programs with Graphs

1 November 2017

Papers citing "Learning to Represent Programs with Graphs"

38 / 138 papers shown

Title
Geometric graphs from data to aid classification tasks with graph convolutional networks Yifan Qian P. Expert P. Panzarasa Mauricio Barahona GNN 25 9 0 08 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 82 2,663 0 02 May 2020
Typilus: Neural Type Hints Miltiadis Allamanis Earl T. Barr Soline Ducousso Zheng Gao 35 131 0 06 Apr 2020
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints Irene Vlassi Pandi Earl T. Barr Andrew D. Gordon Charles Sutton 22 29 0 01 Apr 2020
Code Prediction by Feeding Trees to Transformers Seohyun Kim Jinman Zhao Yuchi Tian S. Chandra 52 217 0 30 Mar 2020
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis Chris Cummins Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Hugh Leather 88 56 0 23 Mar 2020
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming Ali Payani Faramarz Fekri 21 18 0 23 Mar 2020
A Toolkit for Generating Code Knowledge Graphs Ibrahim Abdelaziz Julian T Dolby Jamie McCusker Kavitha Srinivas 21 25 0 21 Feb 2020
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree Wenhan Wang Ge Li Bo Ma Xin Xia Zhi Jin GNN 18 251 0 20 Feb 2020
Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model Steve Kommrusch Théo Barollet L. Pouchet 30 6 0 17 Feb 2020
Adversarial Robustness for Code Pavol Bielik Martin Vechev AAML 22 89 0 11 Feb 2020
Learning to Encode and Classify Test Executions Foivos Tsimpourlas A. Rajan Miltiadis Allamanis 29 12 0 08 Jan 2020
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing Vinoj Jayasundara Nghi D. Q. Bui Lingxiao Jiang David Lo 28 16 0 27 Oct 2019
IR2Vec: LLVM IR based Scalable Program Embeddings Venkata Keerthy Rohit Aggarwal Shalini Jain Maunendra Sankar Ramakrishna Upadrasta Desarkar 29 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 13 749 0 08 Sep 2019
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks Dongdong She Yizheng Chen Abhishek Shah Baishakhi Ray Suman Jana 25 44 0 08 Jul 2019
Learning Blended, Precise Semantic Program Embeddings Ke Wang Z. Su NAI 30 25 0 03 Jul 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation Marc Brockschmidt 28 134 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 39 10 0 27 Jun 2019
Learning Execution through Neural Code Fusion Zhan Shi Kevin Swersky Daniel Tarlow Parthasarathy Ranganathan Milad Hashemi GNN 21 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 35 218 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 15 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 170 8,393 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Yuchen Zhang Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 43 5,416 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 59 1,321 0 11 Dec 2018
Structured Neural Summarization Patrick Fernandes Miltiadis Allamanis Marc Brockschmidt GNN 27 212 0 05 Nov 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 121 3,087 0 04 Jun 2018
Constrained Graph Variational Autoencoders for Molecule Design Qi Liu Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt BDL 17 450 0 23 May 2018
Generative Code Modeling with Graphs Marc Brockschmidt Miltiadis Allamanis Alexander L. Gaunt Oleksandr Polozov 40 178 0 22 May 2018
Learning to Optimize Tensor Programs Tianqi Chen Lianmin Zheng Eddie Q. Yan Ziheng Jiang T. Moreau Luis Ceze Carlos Guestrin Arvind Krishnamurthy 39 395 0 21 May 2018
code2vec: Learning Distributed Representations of Code Uri Alon Meital Zilberstein Omer Levy Eran Yahav 34 1,157 0 26 Mar 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
Improving Graph Convolutional Networks with Non-Parametric Activation Functions Simone Scardapane S. Van Vaerenbergh Danilo Comminiello A. Uncini GNN 33 7 0 26 Feb 2018