BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling

21 March 2022

Papers citing "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling"

40 / 40 papers shown

Title
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training Aditya K. Ranjan Siddharth Singh Cunyang Wei A. Bhatele GNN 48 0 0 07 May 2025
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling Chaojian Li Zhifan Ye Massimiliano Lupo Pasini Jong Youl Choi Cheng Wan Y. Lin Prasanna Balaprakash 29 0 0 10 Apr 2025
Sparsity-Aware Communication for Distributed Graph Neural Network Training Ujjaini Mukhodopadhyay Alok Tripathy Oguz Selvitopi Katherine Yelick A. Buluç 39 1 0 07 Apr 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 33 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 73 0 0 20 Dec 2024
SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers Chen Zhuang Peng Chen Xin Liu Rio Yokota Nikoli Dryden Toshio Endo Satoshi Matsuoka M. Wahib GNN 57 0 0 25 Nov 2024
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs Shengwei Ji Yujie Tian Fei Liu Xinlu Li Le Wu GNN 21 0 0 14 Oct 2024
FedGraph: A Research Library and Benchmark for Federated Graph Learning Yuhang Yao Yuan Li Xinyi Fan Junhao Li Kay Liu Weizhao Jin Srivatsan Ravi Philip S. Yu Carlee Joe-Wong FedML 21 0 0 08 Oct 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 22 1 0 23 Sep 2024
Heta: Distributed Training of Heterogeneous Graph Neural Networks Yuchen Zhong Junwei Su Chuan Wu Minjie Wang 26 1 0 19 Aug 2024
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme Jeongmin Brian Park Kun Wu Vikram Sharma Mailthody Zaid Quresh Scott Mahlke Wen-mei W. Hwu GNN 25 0 0 21 Jul 2024
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch Saurabh Bajaj Hui Guan Marco Serafini GNN 33 1 0 01 Jun 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training Renjie Liu Yichuan Wang Xiao Yan Zhenkun Cai Minjie Wang Haitian Jiang Bo Tang Jinyang Li GNN 29 2 0 08 May 2024
Federated Graph Condensation with Information Bottleneck Principles Bo Yan DD FedML 29 4 0 07 May 2024
Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning Zezhong Ding Yongan Xiang Shangyou Wang Xike Xie S. K. Zhou 13 3 0 28 Feb 2024
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao Shaoyi Huang Omer Khan David Kaeli Caiwen Ding 30 35 0 14 Dec 2023
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters Jaeyong Song Hongsun Jang Jaewon Jung Youngsok Kim Jinho Lee GNN 6 0 0 12 Nov 2023
Distributed Matrix-Based Sampling for Graph Neural Network Training Alok Tripathy Katherine Yelick A. Buluç 16 0 0 06 Nov 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Liang Zhao GNN 4 3 0 25 Aug 2023
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism Jingji Chen Zhuoming Chen Xuehai Qian GNN AI4CE 19 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 11 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 29 22 0 24 Jun 2023
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs Loc Hoang Rita Brugarolas Brufau Ke Ding Bo Wu GNN 12 2 0 23 Jun 2023
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training Borui Wan Juntao Zhao Chuan Wu GNN 14 14 0 02 Jun 2023
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning Yu-Shuen Tang Zhimin Ding Dimitrije Jankov Binhang Yuan Daniel Bourgeois C. Jermaine BDL 24 5 0 31 May 2023
Learning Large Graph Property Prediction via Graph Segment Training Kaidi Cao P. Phothilimthana Sami Abu-El-Haija Dustin Zelle Yanqi Zhou Charith Mendis J. Leskovec Bryan Perozzi 18 8 0 21 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching Tim Kaler A. Iliopoulos P. Murzynowski Tao B. Schardl C. E. Leiserson Jie Chen GNN 14 9 0 04 May 2023
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism Sandeep Polisetty Juelin Liu Kobi Falus Yi Ren Fung Seung-Hwan Lim Hui Guan Marco Serafini GNN 21 10 0 24 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 61 8 0 06 Mar 2023
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication Mengdie Zhang Qi Hu Peng Sun Yonggang Wen Tianwei Zhang GNN 21 4 0 02 Mar 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 20 18 0 03 Feb 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training Kezhao Huang Haitian Jiang Minjie Wang Guangxuan Xiao David Wipf Xiang Song Quan Gan Zengfeng Huang Jidong Zhai Zheng-Wei Zhang GNN 23 2 0 18 Jan 2023
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Bin Cui Lei Chen GNN AI4CE 11 53 0 01 Nov 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 22 14 0 19 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 31 36 0 30 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 45 9 0 20 Sep 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 32 54 0 19 May 2022
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication Cheng Wan Youjie Li Cameron R. Wolfe Anastasios Kyrillidis Namjae Kim Yingyan Lin GNN 20 65 0 20 Mar 2022
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning Zihui Xue Yuedong Yang Mengtian Yang R. Marculescu 11 8 0 31 Jan 2022
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks Yuhang Yao Weizhao Jin Srivatsan Ravi Carlee Joe-Wong GNN FedML 45 17 0 28 Jan 2022