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GN-Transformer: Fusing Sequence and Graph Representation for Improved
  Code Summarization

GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization

17 November 2021
Junyan Cheng
Iordanis Fostiropoulos
Barry W. Boehm
ArXiv (abs)PDFHTML

Papers citing "GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization"

31 / 31 papers shown
Title
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
670
41,430
0
22 Oct 2020
A Transformer-based Approach for Source Code Summarization
A Transformer-based Approach for Source Code Summarization
Wasi Uddin Ahmad
Saikat Chakraborty
Baishakhi Ray
Kai-Wei Chang
ViT
97
386
0
01 May 2020
Learning to Update Natural Language Comments Based on Code Changes
Learning to Update Natural Language Comments Based on Code Changes
Sheena Panthaplackel
Pengyu Nie
Miloš Gligorić
Junyi Jessy Li
Raymond J. Mooney
85
66
0
25 Apr 2020
Improved Code Summarization via a Graph Neural Network
Improved Code Summarization via a Graph Neural Network
Alexander LeClair
S. Haque
Lingfei Wu
Collin McMillan
53
285
0
06 Apr 2020
Detecting Code Clones with Graph Neural Networkand Flow-Augmented
  Abstract Syntax Tree
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
Wenhan Wang
Ge Li
Bo Ma
Xin Xia
Zhi Jin
GNN
60
256
0
20 Feb 2020
Tree-structured Attention with Hierarchical Accumulation
Tree-structured Attention with Hierarchical Accumulation
Xuan-Phi Nguyen
Shafiq Joty
Guosheng Lin
R. Socher
51
76
0
19 Feb 2020
Code Generation as a Dual Task of Code Summarization
Code Generation as a Dual Task of Code Summarization
Bolin Wei
Ge Li
Xin Xia
Zhiyi Fu
Zhi Jin
74
226
0
14 Oct 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
93
497
0
11 Jun 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPCGNN
130
1,350
0
07 Apr 2019
Improving Automatic Source Code Summarization via Deep Reinforcement
  Learning
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Yao Wan
Zhou Zhao
Min Yang
Guandong Xu
Haochao Ying
Jian Wu
Philip S. Yu
56
392
0
17 Nov 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
251
7,695
0
01 Oct 2018
Graph Convolutional Networks for Text Classification
Graph Convolutional Networks for Text Classification
Liang Yao
Chengsheng Mao
Yuan Luo
GNN
92
1,828
0
15 Sep 2018
code2seq: Generating Sequences from Structured Representations of Code
code2seq: Generating Sequences from Structured Representations of Code
Uri Alon
Shaked Brody
Omer Levy
Eran Yahav
83
700
0
04 Aug 2018
Relational inductive biases, deep learning, and graph networks
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
AI4CENAI
766
3,129
0
04 Jun 2018
code2vec: Learning Distributed Representations of Code
code2vec: Learning Distributed Representations of Code
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
53
1,181
0
26 Mar 2018
Self-Attention with Relative Position Representations
Self-Attention with Relative Position Representations
Peter Shaw
Jakob Uszkoreit
Ashish Vaswani
179
2,296
0
06 Mar 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
257
6,168
0
24 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNNSSL
192
2,830
0
22 Jan 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
289
8,917
0
21 Nov 2017
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNNNAI
123
804
0
01 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,225
0
30 Oct 2017
A parallel corpus of Python functions and documentation strings for
  automated code documentation and code generation
A parallel corpus of Python functions and documentation strings for automated code documentation and code generation
Antonio Valerio Miceli Barone
Rico Sennrich
65
161
0
07 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
730
132,363
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Multimodal Machine Learning: A Survey and Taxonomy
Multimodal Machine Learning: A Survey and Taxonomy
T. Baltrušaitis
Chaitanya Ahuja
Louis-Philippe Morency
109
2,937
0
26 May 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
306
4,025
0
14 Apr 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,488
0
04 Apr 2017
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CEOCL
386
441
0
01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
652
29,154
0
09 Sep 2016
Improved Semantic Representations From Tree-Structured Long Short-Term
  Memory Networks
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
R. Socher
Christopher D. Manning
AIMat
142
3,122
0
28 Feb 2015
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
260
9,800
0
26 Mar 2014
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