GraphFM: Improving Large-Scale GNN Training via Feature Momentum

14 June 2022

Haiyang Yu

Papers citing "GraphFM: Improving Large-Scale GNN Training via Feature Momentum"

28 / 28 papers shown

Title
Accurate and Scalable Graph Neural Networks via Message Invariance Zhihao Shi Jie Wang Zhiwei Zhuang Xize Liang Bin Li Feng Wu 47 1 0 27 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Ziyang Zheng Shan Huang Jianyuan Zhong Zhengyuan Shi Guohao Dai Ningyi Xu Qiang Xu GNN 81 2 0 02 Feb 2025
Graph Neural Networks for Financial Fraud Detection: A Review Dawei Cheng Yao Zou Sheng Xiang Changjun Jiang AI4TS 38 9 0 01 Nov 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue Tong Zhao Neil Shah Xiaorui Liu GNN 37 1 0 07 Oct 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 34 3 0 07 May 2024
Complete and Efficient Graph Transformers for Crystal Material Property Prediction Keqiang Yan Cong Fu Xiaofeng Qian Xiaoning Qian Shuiwang Ji 41 19 0 18 Mar 2024
Linear-Time Graph Neural Networks for Scalable Recommendations Jiahao Zhang Rui Xue Wenqi Fan Xin Xu Qing Li Jian Pei Xiaorui Liu AI4CE 32 24 0 21 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Joey Tianyi Zhou Yang You DD 63 13 0 07 Feb 2024
PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs Ying Su Jipeng Zhang Yangqiu Song Tong Zhang 30 0 0 31 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 25 7 0 04 Jan 2024
Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks Zijie Huang Baolin Li Hafez Asgharzadeh Anne Cocos Lingyi Liu Evan Cox Colby Wise Sudarshan Lamkhede 26 0 0 07 Dec 2023
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store Biqi Yang Weiliang Tang Xiaojie Gao Xianzhi Li Yunhui Liu Chi-Wing Fu Pheng-Ann Heng 19 1 0 08 Nov 2023
A Local Graph Limits Perspective on Sampling-Based GNNs Yeganeh Alimohammadi Luana Ruiz Amin Saberi 27 2 0 17 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 13 38 0 13 Oct 2023
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks Taraneh Younesian Daniel Daza Emile van Krieken Thiviyan Thanapalasingam Peter Bloem 14 4 0 05 Oct 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 19 6 0 26 Sep 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Liang Zhao GNN 14 3 0 25 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
Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate Hongchang Gao 19 0 0 06 Jun 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 21 8 0 21 May 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training Jie Wang Zhihao Shi Xize Liang Shuiwang Ji Bin Li Feng Wu 20 0 0 17 Mar 2023
Asymmetric Learning for Graph Neural Network based Link Prediction Kai-Lang Yao Wusuo Li 16 1 0 01 Mar 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 25 19 0 03 Feb 2023
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 33 36 0 30 Sep 2022
Learning Hierarchical Protein Representations via Complete 3D Graph Networks Limei Wang Haoran Liu Yi Liu Jerry Kurtin Shuiwang Ji GNN 18 54 0 26 Jul 2022
Algorithmic Foundations of Empirical X-risk Minimization Tianbao Yang 28 5 0 01 Jun 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 21 25 0 16 Feb 2022
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 86 82 0 30 Mar 2020