Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

9 June 2020

Yang Liu

Papers citing "Retrieval-Augmented Generation for Code Summarization via Hybrid GNN"

37 / 37 papers shown

Title
DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue Feiyuan Zhang D. Zhu James Ming Yilun Jin Di Chai Liu Yang Han Tian Zhaoxin Fan Kai Chen 160 2 0 20 Feb 2025
OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale Ali AhmadiTeshnizi Wenzhi Gao Herman Brunborg Shayan Talaei Connor Lawless Madeleine Udell 82 5 0 29 Jul 2024
LitLLM: A Toolkit for Scientific Literature Review Shubham Agarwal I. Laradji Laurent Charlin Christopher Pal Krishnamurthy DJ Dvijotham Jason Stanley Laurent Charlin Christopher Pal 79 32 0 02 Feb 2024
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 94 415 0 21 Jun 2020
A Transformer-based Approach for Source Code Summarization Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang ViT 86 380 0 01 May 2020
Improved Code Summarization via a Graph Neural Network Alexander LeClair S. Haque Lingfei Wu Collin McMillan 51 285 0 06 Apr 2020
CORE: Automating Review Recommendation for Code Changes J. Siow Cuiyun Gao Lingling Fan Sen Chen Yang Liu 68 58 0 20 Dec 2019
Code Generation as a Dual Task of Code Summarization Bolin Wei Ge Li Xin Xia Zhiyi Fu Zhi Jin 66 223 0 14 Oct 2019
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 68 508 0 26 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 61 766 0 08 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 80 1,107 0 07 Sep 2019
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation Jiehan Zhu Junhui Li Muhua Zhu Longhua Qian Min Zhang Guodong Zhou 60 102 0 31 Aug 2019
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation Yu Chen Lingfei Wu Mohammed J Zaki GNN 45 156 0 14 Aug 2019
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension Yu Chen Lingfei Wu Mohammed J Zaki 54 76 0 31 Jul 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 119 1,346 0 07 Apr 2019
The Adverse Effects of Code Duplication in Machine Learning Models of Code Miltiadis Allamanis 61 320 0 16 Dec 2018
Improving Automatic Source Code Summarization via Deep Reinforcement Learning Yao Wan Zhou Zhao Min Yang Guandong Xu Haochao Ying Jian Wu Philip S. Yu 49 391 0 17 Nov 2018
Structured Neural Summarization Patrick Fernandes Miltiadis Allamanis Marc Brockschmidt GNN 75 212 0 05 Nov 2018
SQL-to-Text Generation with Graph-to-Sequence Model Kun Xu Lingfei Wu Zhiguo Wang Liwei Chen V. Sheinin GNN RALM 42 83 0 14 Sep 2018
code2seq: Generating Sequences from Structured Representations of Code Uri Alon Shaked Brody Omer Levy Eran Yahav 66 699 0 04 Aug 2018
Graph-to-Sequence Learning using Gated Graph Neural Networks Daniel Beck Gholamreza Haffari Trevor Cohn GNN 69 324 0 26 Jun 2018
Learning Conditioned Graph Structures for Interpretable Visual Question Answering Will Norcliffe-Brown Efstathios Vafeias Sarah Parisot GNN 66 237 0 19 Jun 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 59 173 0 03 Apr 2018
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems Lei Ma Felix Juefei Xu Fuyuan Zhang Jiyuan Sun Minhui Xue ... Ting Su Li Li Yang Liu Jianjun Zhao Yadong Wang ELM 67 621 0 20 Mar 2018
Learning to Represent Programs with Graphs Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi GNN NAI 120 802 0 01 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 470 20,138 0 30 Oct 2017
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 108 857 0 18 Sep 2017
Automatically Generating Commit Messages from Diffs using Neural Machine Translation Siyuan Jiang A. Armaly Collin McMillan 45 260 0 30 Aug 2017
A parallel corpus of Python functions and documentation strings for automated code documentation and code generation Antonio Valerio Miceli Barone Rico Sennrich 65 159 0 07 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 687 131,526 0 12 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 498 15,232 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 614 29,032 0 09 Sep 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 344 3,282 0 17 Nov 2015
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 377 7,962 0 17 Aug 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks Samy Bengio Oriol Vinyals Navdeep Jaitly Noam M. Shazeer 143 2,034 0 09 Jun 2015
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 546 27,300 0 01 Sep 2014