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LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation

LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation

3 February 2023
Rui Xue
Haoyu Han
MohamadAli Torkamani
Jian Pei
Xiaorui Liu
    GNN
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Papers citing "LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation"

13 / 13 papers shown
Title
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
Jianpeng Qi
Yuan Cao
Guoqing Chao
Yanwei Yu
GNN
49
0
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 Report
Haipeng Ding
Zhewei Wei
Yuhang Ye
31
0
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
27
1
0
07 Oct 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
Jiliang Tang
33
5
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
29
0
0
26 Mar 2024
BloomGML: Graph Machine Learning through the Lens of Bilevel
  Optimization
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization
Amber Yijia Zheng
Tong He
Yixuan Qiu
Minjie Wang
David Wipf
21
2
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
19
24
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
12
4
0
07 Dec 2023
Probabilistically Rewired Message-Passing Neural Networks
Probabilistically Rewired Message-Passing Neural Networks
Chendi Qian
Andrei Manolache
Kareem Ahmed
Zhe Zeng
Guy Van den Broeck
Mathias Niepert
Christopher Morris
26
11
0
03 Oct 2023
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical
  Inductive Biases
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
Yang Liu
Jiashun Cheng
Haihong Zhao
Tingyang Xu
P. Zhao
Fugee Tsung
Jia Li
Yu Rong
AI4CE
23
7
0
25 Aug 2023
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit
  Communication
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication
Mengdie Zhang
Qi Hu
Peng Sun
Yonggang Wen
Tianwei Zhang
GNN
19
4
0
02 Mar 2023
Optimization-Induced Graph Implicit Nonlinear Diffusion
Optimization-Induced Graph Implicit Nonlinear Diffusion
Qi Chen
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
DiffM
39
32
0
29 Jun 2022
Elastic Graph Neural Networks
Elastic Graph Neural Networks
Xiaorui Liu
W. Jin
Yao Ma
Yaxin Li
Hua Liu
Yiqi Wang
Ming Yan
Jiliang Tang
79
106
0
05 Jul 2021
1