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LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
v1v2 (latest)

LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation

International Conference on Machine Learning (ICML), 2023
3 February 2023
Rui Xue
Haoyu Han
MohamadAli Torkamani
Jian Pei
Xiaorui Liu
    GNN
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)Github (13★)

Papers citing "LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation"

15 / 15 papers shown
GraphTorque: Torque-Driven Rewiring Graph Neural Network
GraphTorque: Torque-Driven Rewiring Graph Neural Network
Sujia Huang
Lele Fu
Zhen Cui
Tong Zhang
Na Song
Bo Huang
255
0
0
29 Jul 2025
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform
Josh Alman
Zhao Song
398
27
0
17 May 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
Xiang Li
Haobing Liu
Haobing Liu
Yuan Cao
Guoqing Chao
Zhongying Zhao
Junyu Dong
Yanwei Yu
Yanwei Yu
GNN
579
4
0
22 Apr 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical ReportKnowledge Discovery and Data Mining (KDD), 2025
Haipeng Ding
Zhewei Wei
Yuhang Ye
365
3
0
08 Jan 2025
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Rui Xue
Tong Zhao
Neil Shah
Xiaorui Liu
GNN
197
3
0
07 Oct 2024
SORSA: Singular Values and Orthonormal Regularized Singular Vectors
  Adaptation of Large Language Models
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
Yang Cao
816
5
0
21 Aug 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts
  Approach
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
Haoyu Han
Juanhui Li
Wei Huang
Xianfeng Tang
Hanqing Lu
Chen Luo
Hui Liu
Shucheng Zhou
397
16
0
05 Jun 2024
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded
  Graph Neural Networks
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks
Yongyi Yang
Jiaming Yang
Wei Hu
Michal Dereziñski
231
0
0
26 Mar 2024
BloomGML: Graph Machine Learning through the Lens of Bilevel
  Optimization
BloomGML: Graph Machine Learning through the Lens of Bilevel OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Amber Yijia Zheng
Tong He
Yixuan Qiu
Minjie Wang
David Wipf
350
3
0
07 Mar 2024
Linear-Time Graph Neural Networks for Scalable Recommendations
Linear-Time Graph Neural Networks for Scalable Recommendations
Jiahao Zhang
Rui Xue
Wenqi Fan
Xin Xu
Qing Li
Jian Pei
Xiaorui Liu
AI4CE
245
60
0
21 Feb 2024
Efficient Large Language Models Fine-Tuning On Graphs
Efficient Large Language Models Fine-Tuning On Graphs
Rui Xue
Xipeng Shen
Ruozhou Yu
Xiaorui Liu
213
4
0
07 Dec 2023
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based EnergyInternational Conference on Learning Representations (ICLR), 2023
Haitian Jiang
Renjie Liu
Xiao Yan
Zhenkun Cai
Minjie Wang
David Wipf
Minjie Wang
David Wipf
GNNAI4CE
335
3
0
19 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks
Probabilistically Rewired Message-Passing Neural NetworksInternational Conference on Learning Representations (ICLR), 2023
Chendi Qian
Andrei Manolache
Kareem Ahmed
Zhe Zeng
Karen Ullrich
Mathias Niepert
Christopher Morris
539
26
0
03 Oct 2023
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical
  Inductive Biases
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive BiasesInternational Conference on Learning Representations (ICLR), 2023
Yang Liu
Jiashun Cheng
Haihong Zhao
Qifeng Bai
P. Zhao
Fugee Tsung
Jia Li
Yu Rong
AI4CE
343
31
0
25 Aug 2023
Implicit vs Unfolded Graph Neural Networks
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang
Tang Liu
Yangkun Wang
Zengfeng Huang
David Wipf
554
16
0
12 Nov 2021
1
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