ProGraML: Graph-based Deep Learning for Program Optimization and Analysis

23 March 2020

Papers citing "ProGraML: Graph-based Deep Learning for Program Optimization and Analysis"

30 / 30 papers shown

Title
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 56 80 0 25 Oct 2019
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning Ameer Haj-Ali Nesreen Ahmed Theodore L. Willke Sophia Shao Krste Asanović Ion Stoica 42 101 0 20 Sep 2019
IR2Vec: LLVM IR based Scalable Program Embeddings Venkata Keerthy Rohit Aggarwal Shalini Jain Maunendra Sankar Ramakrishna Upadrasta Desarkar 36 10 0 13 Sep 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 92 521 0 29 Apr 2019
A Literature Study of Embeddings on Source Code Zimin Chen Monperrus Martin 56 82 0 05 Apr 2019
Learning to Represent Edits Pengcheng Yin Graham Neubig Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt KELM 50 112 0 31 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 183 7,554 0 01 Oct 2018
Neural Code Comprehension: A Learnable Representation of Code Semantics Tal Ben-Nun Alice Shoshana Jakobovits Torsten Hoefler 40 240 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 477 3,101 0 04 Jun 2018
Machine Learning in Compiler Optimisation Zheng Wang Michael F. P. O'Boyle VLM 48 77 0 09 May 2018
A General Path-Based Representation for Predicting Program Properties Uri Alon Meital Zilberstein Omer Levy Eran Yahav 35 205 0 26 Mar 2018
code2vec: Learning Distributed Representations of Code Uri Alon Meital Zilberstein Omer Levy Eran Yahav 53 1,164 0 26 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 55 705 0 26 Feb 2018
A Survey on Compiler Autotuning using Machine Learning Amir H. Ashouri W. Killian John Cavazos G. Palermo Cristina Silvano 52 200 0 13 Jan 2018
Learning to Represent Programs with Graphs Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi GNN NAI 106 799 0 01 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 359 19,991 0 30 Oct 2017
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 97 846 0 18 Sep 2017
Device Placement Optimization with Reinforcement Learning Azalia Mirhoseini Hieu H. Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio J. Dean 64 438 0 13 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 501 129,831 0 12 Jun 2017
Convolutional Sequence to Sequence Learning Jonas Gehring Michael Auli David Grangier Denis Yarats Yann N. Dauphin AIMat 122 3,279 0 08 May 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 338 7,388 0 04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 153 4,772 0 17 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 496 28,901 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 269 7,622 0 30 Jun 2016
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 283 3,271 0 17 Nov 2015
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai R. Socher Christopher D. Manning AIMat 124 3,117 0 28 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 365 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.0K 149,474 0 22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 697 23,235 0 03 Jun 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 394 7,650 0 03 Jul 2012