Distributed Graph Neural Network Training: A Survey

1 November 2022

Lei Chen

Papers citing "Distributed Graph Neural Network Training: A Survey"

27 / 27 papers shown

Title
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification Xiao Lin Zhichen Zeng Tianxin Wei Zhining Liu Yuzhong Chen Hanghang Tong AI4TS 40 1 0 05 Apr 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks R. Waleffe Devesh Sarda J. Mohoney Emmanouil-Vasileios Vlatakis-Gkaragkounis Theodoros Rekatsinas Shivaram Venkataraman GNN 64 0 0 25 Feb 2025
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities Shih-Hsuan Chiu Ya-Wen Teng De-Nian Yang Ming-Syan Chen 43 0 0 15 Feb 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 65 2 0 08 Jan 2025
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism Xin Ai Hao Yuan Zeyu Ling Qiange Wang Yanfeng Zhang Zhenbo Fu Chaoyi Chen Yu Gu Ge Yu GNN 49 1 0 29 Dec 2024
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Siddharth Ambekar Yuhang Yao Ryan Li Carlee Joe-Wong FedML 90 0 0 20 Dec 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs Aishwarya Sarkar Sayan Ghosh Nathan Tallent Ali Jannesari GNN 36 2 0 30 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 47 2 0 28 Oct 2024
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch Saurabh Bajaj Hui Guan Marco Serafini GNN 41 1 0 01 Jun 2024
Disttack: Graph Adversarial Attacks Toward Distributed GNN Training Yuxiang Zhang Xin Liu Meng Wu Wei Yan Yurui Lai Xiaochun Ye Xiaochun Ye GNN AAML 36 1 0 10 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 47 3 0 07 May 2024
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Liang Zhao GNN 24 3 0 25 Aug 2023
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism Jingji Chen Zhuoming Chen Xuehai Qian GNN AI4CE 38 3 0 19 Aug 2023
Communication-Free Distributed GNN Training with Vertex Cut Kaidi Cao Rui Deng Shirley Wu E-Wen Huang Karthik Subbian J. Leskovec GNN 24 3 0 06 Aug 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 42 23 0 24 Jun 2023
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism Sandeep Polisetty Juelin Liu Kobi Falus Yi R. Fung Seung-Hwan Lim Hui Guan Marco Serafini GNN 36 10 0 24 Mar 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 33 21 0 03 Feb 2023
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 44 8 0 08 Jun 2022
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs Hesham Mostafa GNN 51 21 0 11 Nov 2021
Distributed Optimization of Graph Convolutional Network using Subgraph Variance Taige Zhao Xiangyu Song Jianxin Li Wei Luo Imran Razzak GNN 38 9 0 06 Oct 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 53 18 0 21 Jul 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 49 11 0 21 Apr 2021
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 101 82 0 30 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 918 0 02 Mar 2020
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric Xing CML 119 257 0 29 Sep 2019
Reasoning Over Semantic-Level Graph for Fact Checking Wanjun Zhong Jingjing Xu Duyu Tang Zenan Xu Nan Duan M. Zhou Jiahai Wang Jian Yin HILM GNN 185 166 0 09 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jun Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019