Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis

19 May 2022

Papers citing "Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis"

35 / 135 papers shown

Title
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 230 7,638 0 01 Oct 2018
Parallel Minimum Cuts in Near-linear Work and Low Depth Barbara Geissmann Lukas Gianinazzi 28 22 0 25 Jul 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 285 2,145 0 22 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 250 3,535 0 06 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 725 3,119 0 04 Jun 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 164 1,061 0 24 May 2018
Transformations of High-Level Synthesis Codes for High-Performance Computing Johannes de Fine Licht Maciej Besta Simon Meierhans Torsten Hoefler 54 90 0 21 May 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang Xingjian Shi Junyuan Xie Hao Ma Irwin King Dit-Yan Yeung GNN 103 573 0 20 Mar 2018
Attention-based Graph Neural Network for Semi-supervised Learning K. K. Thekumparampil Chong-Jun Wang Sewoong Oh Li Li GNN 65 333 0 10 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 55 707 0 26 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 141 1,513 0 30 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,132 0 24 Jan 2018
Residual Gated Graph ConvNets Xavier Bresson T. Laurent GNN 118 481 0 20 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 445 20,089 0 30 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 95 1,793 0 22 Sep 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 169 1,976 0 17 Sep 2017
sPIN: High-performance streaming Processing in the Network Torsten Hoefler Salvatore Di Girolamo Konstantin Taranov Ryan E. Grant R. Brightwell 67 78 0 16 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 658 131,414 0 12 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 468 15,218 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 563 7,441 0 04 Apr 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 408 1,819 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 778 3,282 0 24 Nov 2016
Scaling betweenness centrality using communication-efficient sparse matrix multiplication Edgar Solomonik Maciej Besta Flavio Vella Torsten Hoefler 92 77 0 22 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 593 28,999 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 186 10,856 0 03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 327 7,648 0 30 Jun 2016
Mathematical Foundations of the GraphBLAS J. Kepner Peter Aaltonen David A. Bader A. Buluç F. Franchetti ... José Moreira John Douglas Owens Carl Yang Marcin Zalewski Tim Mattson 41 230 0 18 Jun 2016
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 210 1,146 0 25 May 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 131 2,154 0 17 May 2016
Diffusion-Convolutional Neural Networks James Atwood Don Towsley GNN DiffM 191 1,253 0 06 Nov 2015
Gunrock: A High-Performance Graph Processing Library on the GPU Yangzihao Wang Andrew A. Davidson Yuechao Pan Yuduo Wu Andy T. Riffel John Douglas Owens 65 524 0 22 Jan 2015
One weird trick for parallelizing convolutional neural networks A. Krizhevsky GNN 88 1,302 0 23 Apr 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 252 9,779 0 26 Mar 2014
Recent Advances in Graph Partitioning A. Buluç Henning Meyerhenke Ilya Safro Peter Sanders Christian Schulz 68 569 0 13 Nov 2013
Graph Kernels S.V.N. Vishwanathan Karsten Borgwardt I. Kondor N. Schraudolph 141 1,204 0 01 Jul 2008