Language-Agnostic Representation Learning of Source Code from Structure and Context

21 March 2021

Stephan Günnemann

Papers citing "Language-Agnostic Representation Learning of Source Code from Structure and Context"

39 / 39 papers shown

Title
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We? Taiming Wang Yuxia Zhang Lin Jiang Yi Tang Guangjie Li Hui Liu 141 1 0 22 Jan 2025
InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming Assignments Pedro Orvalho Mikolávs Janota Vasco M. Manquinho 56 7 0 28 Jun 2022
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski Johannes Klicpera Bryan Perozzi Amol Kapoor Martin J. Blais Benedek Rozemberczki Michal Lukasik Stephan Günnemann GNN 129 372 0 03 Jul 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 267 2,719 0 02 May 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 110 869 0 06 Mar 2020
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 119 703 0 28 Oct 2019
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search Hamel Husain Hongqiu Wu Tiferet Gazit Miltiadis Allamanis Marc Brockschmidt ELM 121 1,067 0 20 Sep 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 204 8,412 0 19 Jun 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 90 496 0 11 Jun 2019
Cross-lingual Language Model Pretraining Guillaume Lample Alexis Conneau 69 2,734 0 22 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Zihang Dai Zhilin Yang Yiming Yang J. Carbonell Quoc V. Le Ruslan Salakhutdinov VLM 171 3,721 0 09 Jan 2019
Structured Neural Summarization Patrick Fernandes Miltiadis Allamanis Marc Brockschmidt GNN 75 212 0 05 Nov 2018
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks Songlin Yang Shawn Tan Alessandro Sordoni Aaron Courville 105 324 0 22 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 205 1,682 0 14 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 206 7,618 0 01 Oct 2018
code2seq: Generating Sequences from Structured Representations of Code Uri Alon Shaked Brody Omer Levy Eran Yahav 64 699 0 04 Aug 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 253 2,140 0 22 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 558 3,109 0 04 Jun 2018
A General Path-Based Representation for Predicting Program Properties Uri Alon Meital Zilberstein Omer Levy Eran Yahav 38 205 0 26 Mar 2018
code2vec: Learning Distributed Representations of Code Uri Alon Meital Zilberstein Omer Levy Eran Yahav 53 1,170 0 26 Mar 2018
Self-Attention with Relative Position Representations Peter Shaw Jakob Uszkoreit Ashish Vaswani 146 2,283 0 06 Mar 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 74 1,923 0 27 Feb 2018
Code Completion with Neural Attention and Pointer Networks Jian Li Yue Wang Michael R. Lyu Irwin King 63 236 0 27 Nov 2017
Learning to Represent Programs with Graphs Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi GNN NAI 109 799 0 01 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 403 20,061 0 30 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 547 130,873 0 12 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 440 15,174 0 07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 172 4,807 0 17 Mar 2017
Learning Python Code Suggestion with a Sparse Pointer Network Avishkar Bhoopchand Tim Rocktaschel Earl T. Barr Sebastian Riedel 39 87 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 552 28,964 0 09 Sep 2016
A deep language model for software code K. Dam T. Tran Trang Pham 32 109 0 09 Aug 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 299 7,646 0 30 Jun 2016
Discriminative Embeddings of Latent Variable Models for Structured Data H. Dai Bo Dai Le Song BDL 115 695 0 17 Mar 2016
A Convolutional Attention Network for Extreme Summarization of Source Code Miltiadis Allamanis Hao Peng Charles Sutton AI4TS 78 582 0 09 Feb 2016
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 301 3,278 0 17 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 183 3,345 0 30 Sep 2015
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 105 3,045 0 09 Jun 2015
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai R. Socher Christopher D. Manning AIMat 129 3,116 0 28 Feb 2015
Structured Generative Models of Natural Source Code Chris J. Maddison Daniel Tarlow 80 171 0 02 Jan 2014