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"

19 / 19 papers shown

Title
MultiGran-STGCNFog: Towards Accurate and High-Throughput Inference for Multi-Granular Spatiotemporal Traffic Forecasting Zhaoyan Wang Xiangchi Song In-Young Ko AI4TS 20 0 0 02 May 2025
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 40 0 0 17 Apr 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 32 2 0 28 Oct 2024
Demystifying Chains, Trees, and Graphs of Thoughts Maciej Besta Florim Memedi Zhenyu Zhang Robert Gerstenberger Guangyuan Piao ... Aleš Kubíček H. Niewiadomski Aidan O'Mahony Onur Mutlu Torsten Hoefler AI4CE LRM 32 25 0 25 Jan 2024
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design Sung Une Lee Boming Xia Yongan Zhang Ang Li Yingyan Lin GNN 34 45 0 22 Dec 2021
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs Hesham Mostafa GNN 29 21 0 11 Nov 2021
MG-GCN: Scalable Multi-GPU GCN Training Framework M. F. Balin Kaan Sancak Ümit V. Çatalyürek GNN 26 7 0 17 Oct 2021
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines Shigang Li Torsten Hoefler GNN AI4CE LRM 69 94 0 14 Jul 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 161 948 0 27 Apr 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 156 463 0 31 Dec 2020
SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing Marcin Copik Grzegorz Kwa'sniewski Maciej Besta Michal Podstawski Torsten Hoefler 50 115 0 28 Dec 2020
Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability Maciej Besta S. M. Hassan S. Yalamanchili Rachata Ausavarungnirun O. Mutlu Torsten Hoefler GNN 40 48 0 21 Oct 2020
SlimSell: A Vectorizable Graph Representation for Breadth-First Search Maciej Besta Florian Marending Edgar Solomonik Torsten Hoefler 40 62 0 19 Oct 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 154 158 0 09 Mar 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 167 1,157 0 03 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 173 907 0 02 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 231 1,801 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016
Scaling betweenness centrality using communication-efficient sparse matrix multiplication Edgar Solomonik Maciej Besta Flavio Vella Torsten Hoefler 24 77 0 22 Sep 2016