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  3. 2003.13606
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L$^2$-GCN: Layer-Wise and Learned Efficient Training of Graph
  Convolutional Networks
v1v2v3v4v5v6v7v8v9v10v11 (latest)

L2^22-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Computer Vision and Pattern Recognition (CVPR), 2020
30 March 2020
Yuning You
Tianlong Chen
Zinan Lin
Yang Shen
    GNN
ArXiv (abs)PDFHTMLGithub (31★)

Papers citing "L$^2$-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks"

45 / 45 papers shown
Graph Neural Network Aided Deep Reinforcement Learning for Resource Allocation in Dynamic Terahertz UAV Networks
Graph Neural Network Aided Deep Reinforcement Learning for Resource Allocation in Dynamic Terahertz UAV Networks
Zhifeng Hu
Chong Han
288
2
0
08 May 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsThe Web Conference (WWW), 2025
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
428
2
0
22 Feb 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing PerspectiveNeural Information Processing Systems (NeurIPS), 2022
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
695
23
0
17 Jan 2025
Efficient Training of Large Vision Models via Advanced Automated
  Progressive Learning
Efficient Training of Large Vision Models via Advanced Automated Progressive Learning
Changlin Li
Jiawei Zhang
Sihao Lin
Zongxin Yang
Junwei Liang
Xiaodan Liang
Xiaojun Chang
VLM
307
2
0
06 Sep 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with
  LLM Token Embeddings
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token EmbeddingsNeural Information Processing Systems (NeurIPS), 2024
Duo Wang
Yuan Zuo
Fengzhi Li
Junjie Wu
252
62
0
25 Aug 2024
From Category to Scenery: An End-to-End Framework for Multi-Person
  Human-Object Interaction Recognition in Videos
From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos
Tanqiu Qiao
Ruochen Li
Frederick W. B. Li
Hubert P. H. Shum
489
5
0
01 Jul 2024
Towards Interpretable Deep Local Learning with Successive Gradient
  Reconciliation
Towards Interpretable Deep Local Learning with Successive Gradient ReconciliationInternational Conference on Machine Learning (ICML), 2024
Yibo Yang
Xiaojie Li
Motasem Alfarra
Hasan Hammoud
Adel Bibi
Juil Sock
Guohao Li
267
8
0
07 Jun 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
Wenzhuo Tang
Haitao Mao
Danial Dervovic
Shubham Sharma
Saumitra Mishra
Yuying Xie
Shucheng Zhou
574
7
0
04 Jun 2024
Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing
  Network
Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing Network
Chong Zheng
Yongming Huang
Cheng Zhang
Tony Q.S. Quek
332
1
0
02 May 2024
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation
Zhiwei Hu
Víctor Gutiérrez-Basulto
Zhiliang Xiang
Ru Li
Jeff Z. Pan
403
3
0
15 Apr 2024
Forward Learning of Graph Neural Networks
Forward Learning of Graph Neural Networks
Namyong Park
Xing Wang
Antoine Simoulin
Shuai Yang
Grey Yang
Ryan Rossi
Puja Trivedi
Nesreen K. Ahmed
GNN
393
1
0
16 Mar 2024
LLaGA: Large Language and Graph Assistant
LLaGA: Large Language and Graph Assistant
Runjin Chen
Tong Zhao
Ajay Jaiswal
Neil Shah
Zinan Lin
513
166
0
13 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation
EXGC: Bridging Efficiency and Explainability in Graph Condensation
Cunchun Li
Xinglin Li
Yongduo Sui
Yuan Gao
Guibin Zhang
Kun Wang
Xiang Wang
Xiangnan He
DD
323
29
0
05 Feb 2024
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning RevisitedIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zheng Wang
H. Ding
Leyi Pan
Jianhua Li
Zhiguo Gong
Philip S. Yu
GNN
421
18
0
24 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using
  Graph Partitioning by Chunks
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks
Fahao Chen
Peng Li
Celimuge Wu
GNN
218
10
0
07 Sep 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without
  Intermediate Communication
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate CommunicationInternational Conference on Machine Learning (ICML), 2023
A. Jaiswal
Shiwei Liu
Tianlong Chen
Ying Ding
Zinan Lin
GNN
304
8
0
18 Jun 2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks
Unifying gradient regularization for Heterogeneous Graph Neural Networks
Xiao Yang
Xuejiao Zhao
Zhiqi Shen
402
0
0
25 May 2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs
  Simultaneously Instead of One
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of OneIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Hongyuan Zhang
Yanan Zhu
Xuelong Li
310
39
0
20 Apr 2023
Random Projection Forest Initialization for Graph Convolutional Networks
Random Projection Forest Initialization for Graph Convolutional NetworksMethodsX (MethodsX), 2023
Mashaan Alshammari
J. Stavrakakis
Adel F. Ahmed
M. Takatsuka
GNN
459
2
0
22 Feb 2023
Learning to Generalize Provably in Learning to Optimize
Learning to Generalize Provably in Learning to OptimizeInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Junjie Yang
Tianlong Chen
Mingkang Zhu
Fengxiang He
Dacheng Tao
Yitao Liang
Zinan Lin
271
11
0
22 Feb 2023
EfficientTrain: Exploring Generalized Curriculum Learning for Training
  Visual Backbones
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual BackbonesIEEE International Conference on Computer Vision (ICCV), 2022
Yulin Wang
Yang Yue
Rui Lu
Tian-De Liu
Zhaobai Zhong
Qing Xiao
Gao Huang
428
37
0
17 Nov 2022
Distributed Graph Neural Network Training: A Survey
Distributed Graph Neural Network Training: A SurveyACM Computing Surveys (ACM CSUR), 2022
Yingxia Shao
Hongzheng Li
Xizhi Gu
Hongbo Yin
Yawen Li
Xupeng Miao
Wentao Zhang
Tengjiao Wang
Lei Chen
GNNAI4CE
470
101
0
01 Nov 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great AgainNeural Information Processing Systems (NeurIPS), 2022
Ajay Jaiswal
Peihao Wang
Tianlong Chen
Justin F. Rousseau
Ying Ding
Zinan Lin
254
15
0
14 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP InitializationInternational Conference on Learning Representations (ICLR), 2022
Xiaotian Han
Tong Zhao
Yozen Liu
Helen Zhou
Neil Shah
GNN
660
49
0
30 Sep 2022
A Robust Stacking Framework for Training Deep Graph Models with
  Multifaceted Node Features
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features
Jiuhai Chen
Jonas W. Mueller
V. Ioannidis
Tom Goldstein
David Wipf
187
2
0
16 Jun 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
GraphFM: Improving Large-Scale GNN Training via Feature MomentumInternational Conference on Machine Learning (ICML), 2022
Haiyang Yu
Limei Wang
Bokun Wang
Meng Liu
Tianbao Yang
Shuiwang Ji
GNNAI4CE
264
46
0
14 Jun 2022
Accelerating the Training of Video Super-Resolution Models
Accelerating the Training of Video Super-Resolution ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022
Lijian Lin
Xintao Wang
Chen Ma
Ying Shan
285
4
0
10 May 2022
Automated Progressive Learning for Efficient Training of Vision
  Transformers
Automated Progressive Learning for Efficient Training of Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2022
Changlin Li
Bohan Zhuang
Guangrun Wang
Xiaodan Liang
Xiaojun Chang
Yi Yang
295
56
0
28 Mar 2022
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual
  Information Maximization
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information MaximizationComputer Vision and Pattern Recognition (CVPR), 2022
Wei Dong
Junsheng Wu
Yi-wei Luo
Zongyuan Ge
Peifeng Wang
SSL
168
24
0
23 Mar 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability
Symbolic Learning to Optimize: Towards Interpretability and ScalabilityInternational Conference on Learning Representations (ICLR), 2022
Wenqing Zheng
Tianlong Chen
Ting-Kuei Hu
Zinan Lin
607
21
0
13 Mar 2022
Optimizer Amalgamation
Optimizer AmalgamationInternational Conference on Learning Representations (ICLR), 2022
Tianshu Huang
Tianlong Chen
Sijia Liu
Shiyu Chang
Lisa Amini
Zinan Lin
MoMe
278
5
0
12 Mar 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated
  Data Augmentations
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data AugmentationsWeb Search and Data Mining (WSDM), 2022
Yuning You
Tianlong Chen
Zinan Lin
Yang Shen
SSL
270
75
0
04 Jan 2022
IGLU: Efficient GCN Training via Lazy Updates
IGLU: Efficient GCN Training via Lazy Updates
S. Narayanan
Aditya Sinha
Prateek Jain
Purushottam Kar
Sundararajan Sellamanickam
BDL
201
13
0
28 Sep 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive
  Benchmark Study
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark StudyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tianlong Chen
Kaixiong Zhou
Keyu Duan
Wenqing Zheng
Peihao Wang
Helen Zhou
Zinan Lin
AAMLGNN
209
75
0
24 Aug 2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph
  Convolutional Networks
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
Feng Sun
Ajith Kumar
Guanci Yang
Qikui Zhu
Yiyun Zhang
Ansi Zhang
Dhruv Makwana
SSLGNN
327
0
0
17 Aug 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Akila Pemasiri
Clinton Fookes
L. Petersson
GNNAI4CE
350
141
0
01 Jul 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past,
  Present and Future
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and FutureItalian National Conference on Sensors (INS), 2021
David Ahmedt-Aristizabal
M. Armin
Akila Pemasiri
Clinton Fookes
L. Petersson
323
238
0
27 May 2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution
  Environments
PPFL: Privacy-preserving Federated Learning with Trusted Execution EnvironmentsACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2021
Fan Mo
Hamed Haddadi
Kleomenis Katevas
Eduard Marin
Diego Perino
N. Kourtellis
FedML
411
298
0
29 Apr 2021
RTIC: Residual Learning for Text and Image Composition using Graph
  Convolutional Network
RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network
Minchul Shin
Yoonjae Cho
ByungSoo Ko
Geonmo Gu
400
55
0
07 Apr 2021
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A BenchmarkJournal of machine learning research (JMLR), 2021
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zinan Lin
W. Yin
709
319
0
23 Mar 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with
  Imbalanced Data
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data
Mahsa Ghorbani
Anees Kazi
M. Baghshah
Hamid R. Rabiee
Nassir Navab
375
78
0
27 Feb 2021
GIST: Distributed Training for Large-Scale Graph Convolutional Networks
GIST: Distributed Training for Large-Scale Graph Convolutional NetworksJournal of Applied and Computational Topology (JACT), 2021
Cameron R. Wolfe
Jingkang Yang
Arindam Chowdhury
Chen Dun
Artun Bayer
Santiago Segarra
Anastasios Kyrillidis
BDLGNNLRM
404
11
0
20 Feb 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification
GraphHop: An Enhanced Label Propagation Method for Node ClassificationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Jia Zhang
Bin Wang
C.-C. Jay Kuo
311
48
0
07 Jan 2021
Cross-Modality Protein Embedding for Compound-Protein Affinity and
  Contact Prediction
Cross-Modality Protein Embedding for Compound-Protein Affinity and Contact PredictionbioRxiv (bioRxiv), 2020
Yuning You
Yang Shen
315
8
0
14 Nov 2020
Training Stronger Baselines for Learning to Optimize
Training Stronger Baselines for Learning to OptimizeNeural Information Processing Systems (NeurIPS), 2020
Tianlong Chen
Weiyi Zhang
Jingyang Zhou
Shiyu Chang
Sijia Liu
Lisa Amini
Zinan Lin
OffRL
316
59
0
18 Oct 2020
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