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"

50 / 135 papers shown

Title
On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization Grzegorz Kwa'sniewski Tal Ben-Nun A. Ziogas Timo Schneider Maciej Besta Torsten Hoefler 63 7 0 12 Oct 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng Zhang George Karypis FedML GNN 50 248 0 11 Oct 2020
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 77 779 0 07 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 88 227 0 30 Sep 2020
Architectural Implications of Graph Neural Networks Zhihui Zhang Jingwen Leng Lingxiao Ma Youshan Miao Chao Li Minyi Guo GNN AI4CE 33 40 0 02 Sep 2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems Yuwei Hu Zihao Ye Minjie Wang Jiali Yu Da Zheng Mu Li Zheng Zhang Zhiru Zhang Yida Wang GNN 72 80 0 26 Aug 2020
High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality Maciej Besta Armon Carigiet Zur Vonarburg-Shmaria Kacper Janda Lukas Gianinazzi Torsten Hoefler 59 26 0 26 Aug 2020
A Survey on Graph Neural Networks for Knowledge Graph Completion Siddhant Arora 117 65 0 24 Jul 2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks Guyue Huang Guohao Dai Yu Wang Huazhong Yang GNN 51 123 0 07 Jul 2020
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 149 373 0 03 Jul 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 85 289 0 07 May 2020
Reducing Communication in Graph Neural Network Training Alok Tripathy Katherine Yelick A. Buluç GNN 70 105 0 07 May 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 294 2,725 0 02 May 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 117 396 0 23 Apr 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks M. Balcilar G. Renton Pierre Héroux Benoit Gaüzère Sébastien Adam P. Honeine 49 60 0 26 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 312 172 0 09 Mar 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 266 1,202 0 03 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 393 939 0 02 Mar 2020
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective Luís C. Lamb Artur S. dÁvila Garcez Marco Gori Marcelo O. R. Prates Pedro H. C. Avelar Moshe Y. Vardi NAI AI4CE 59 79 0 29 Feb 2020
Characterizing and Understanding GCNs on GPU Yurui Lai Zhaodong Chen Lei Deng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie BDL GNN 47 64 0 28 Jan 2020
Enabling Highly-Scalable Remote Memory Access Programming with MPI-3 One Sided Robert Gerstenberger Maciej Besta Torsten Hoefler 89 139 0 21 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 86 292 0 07 Jan 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms Hanqing Zeng Viktor Prasanna GNN 64 128 0 31 Dec 2019
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems Maciej Besta Marc Fischer Vasiliki Kalavri Michael Kapralov Torsten Hoefler GNN 67 56 0 29 Dec 2019
Slim Graph: Practical Lossy Graph Compression for Approximate Graph Processing, Storage, and Analytics Maciej Besta Simon Weber Lukas Gianinazzi Robert Gerstenberger Andrey Ivanov Yishai Oltchik Torsten Hoefler 48 38 0 18 Dec 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 90 282 0 17 Nov 2019
Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons Maciej Besta Raghavendra Kanakagiri Harun Mustafa Mikhail Karasikov Gunnar Rätsch Torsten Hoefler Edgar Solomonik 48 66 0 11 Nov 2019
Active Access: A Mechanism for High-Performance Distributed Data-Centric Computations Maciej Besta Torsten Hoefler 37 35 0 28 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 126 705 0 28 Oct 2019
Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries Maciej Besta Robert Gerstenberger E. Peter Marc Fischer Michal Podstawski Claude Barthels Gustavo Alonso Torsten Hoefler GNN 42 96 0 20 Oct 2019
Text Level Graph Neural Network for Text Classification Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 83 263 0 06 Oct 2019
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Shengwen Liang Ying Wang Cheng Liu Lei He Huawei Li Xiaowei Li GNN 44 134 0 31 Aug 2019
Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication Grzegorz Kwa'sniewski Marko Kabić Maciej Besta J. VandeVondele R. Solcà Torsten Hoefler LRM 40 92 0 26 Aug 2019
Network-Accelerated Non-Contiguous Memory Transfers Salvatore Di Girolamo Konstantin Taranov Andreas Kurth Michael Schaffner Timo Schneider Jakub Beránek Maciej Besta Luca Benini Duncan Roweth Torsten Hoefler 26 24 0 22 Aug 2019
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Shigang Li Tal Ben-Nun Salvatore Di Girolamo Dan Alistarh Torsten Hoefler 99 58 0 12 Aug 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 137 966 0 10 Jul 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 142 1,272 0 20 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 86 910 0 30 Apr 2019
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective Jia Li Yu Rong Hong Cheng Helen Meng Wen-bing Huang Junzhou Huang 35 151 0 10 Apr 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 125 418 0 28 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 214 4,334 0 06 Mar 2019
Graph Processing on FPGAs: Taxonomy, Survey, Challenges Maciej Besta Dimitri Stanojevic Johannes de Fine Licht Tal Ben-Nun Torsten Hoefler GNN AI4CE 62 52 0 25 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 97 388 0 23 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 220 3,172 0 19 Feb 2019
A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning Tal Ben-Nun Maciej Besta Simon Huber A. Ziogas D. Peter Torsten Hoefler ELM ALM 44 78 0 29 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 65 391 0 05 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 719 8,517 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,511 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 149 1,333 0 11 Dec 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 212 1,685 0 14 Oct 2018