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

30 March 2020

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

46 / 46 papers shown

Title
Graph Neural Network Aided Deep Reinforcement Learning for Resource Allocation in Dynamic Terahertz UAV Networks Zhifeng Hu Chong Han 46 0 0 08 May 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 43 0 0 22 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks Jasraj Singh Keyue Jiang Brooks Paige Laura Toni 70 1 0 11 Feb 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective Yihong Chen Pushkar Mishra Luca Franceschi Pasquale Minervini Pontus Stenetorp Sebastian Riedel 61 20 0 17 Jan 2025
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 23 0 0 06 Sep 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings Duo Wang Yuan Zuo Fengzhi Li Junjie Wu 26 7 0 25 Aug 2024
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 34 0 0 01 Jul 2024
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation Yibo Yang Xiaojie Li Motasem Alfarra Hasan Hammoud Adel Bibi Philip H. S. Torr Bernard Ghanem 37 2 0 07 Jun 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang Haitao Mao Danial Dervovic Ivan Brugere Saumitra Mishra Yuying Xie Jiliang Tang 48 3 0 04 Jun 2024
Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing Network Chong Zheng Yongming Huang Cheng Zhang Tony Q. S. Quek 26 0 0 02 May 2024
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation Zhiwei Hu Víctor Gutiérrez-Basulto Zhiliang Xiang Ru Li Jeff Z. Pan 27 0 0 15 Apr 2024
Forward Learning of Graph Neural Networks Namyong Park Xing Wang Antoine Simoulin Shuai Yang Grey Yang Ryan Rossi Puja Trivedi Nesreen K. Ahmed GNN 39 1 0 16 Mar 2024
LLaGA: Large Language and Graph Assistant Runjin Chen Tong Zhao Ajay Jaiswal Neil Shah Zhangyang Wang 20 54 0 13 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Junfeng Fang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 51 19 0 05 Feb 2024
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 21 5 0 24 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks Fahao Chen Peng Li Celimuge Wu GNN 21 3 0 07 Sep 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang GNN 36 5 0 18 Jun 2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks Xiao Yang Xuejiao Zhao Zhiqi Shen 19 0 0 25 May 2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One Hongyuan Zhang Yanan Zhu Xuelong Li 19 9 0 20 Apr 2023
Random Projection Forest Initialization for Graph Convolutional Networks Mashaan Alshammari J. Stavrakakis Adel F. Ahmed M. Takatsuka GNN 18 2 0 22 Feb 2023
Learning to Generalize Provably in Learning to Optimize Junjie Yang Tianlong Chen Mingkang Zhu Fengxiang He Dacheng Tao Yitao Liang Zhangyang Wang 25 6 0 22 Feb 2023
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones Yulin Wang Yang Yue Rui Lu Tian-De Liu Zhaobai Zhong S. Song Gao Huang 32 28 0 17 Nov 2022
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 55 0 01 Nov 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 24 10 0 14 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 52 36 0 30 Sep 2022
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features Jiuhai Chen Jonas W. Mueller V. Ioannidis Tom Goldstein David Wipf 24 2 0 16 Jun 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum Haiyang Yu Limei Wang Bokun Wang Meng Liu Tianbao Yang Shuiwang Ji GNN AI4CE 29 39 0 14 Jun 2022
Accelerating the Training of Video Super-Resolution Models Lijian Lin Xintao Wang Zhongang Qi Ying Shan 30 3 0 10 May 2022
Automated Progressive Learning for Efficient Training of Vision Transformers Changlin Li Bohan Zhuang Guangrun Wang Xiaodan Liang Xiaojun Chang Yi Yang 20 46 0 28 Mar 2022
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization Wei Dong Junsheng Wu Yi-wei Luo Zongyuan Ge Peifeng Wang SSL 29 19 0 23 Mar 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability Wenqing Zheng Tianlong Chen Ting-Kuei Hu Zhangyang Wang 37 18 0 13 Mar 2022
Optimizer Amalgamation Tianshu Huang Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang MoMe 20 4 0 12 Mar 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations Yuning You Tianlong Chen Zhangyang Wang Yang Shen SSL 19 61 0 04 Jan 2022
IGLU: Efficient GCN Training via Lazy Updates S. Narayanan Aditya Sinha Prateek Jain Purushottam Kar Sundararajan Sellamanickam BDL 49 9 0 28 Sep 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 27 61 0 24 Aug 2021
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 SSL GNN 30 0 0 17 Aug 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 106 0 01 Jul 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 16 177 0 27 May 2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments Fan Mo Hamed Haddadi Kleomenis Katevas Eduard Marin Diego Perino N. Kourtellis FedML 28 244 0 29 Apr 2021
RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network Minchul Shin Yoonjae Cho ByungSoo Ko Geonmo Gu 12 44 0 07 Apr 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 35 225 0 23 Mar 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data Mahsa Ghorbani Anees Kazi M. Baghshah Hamid R. Rabiee Nassir Navab 19 72 0 27 Feb 2021
GIST: Distributed Training for Large-Scale Graph Convolutional Networks Cameron R. Wolfe Jingkang Yang Arindam Chowdhury Chen Dun Artun Bayer Santiago Segarra Anastasios Kyrillidis BDL GNN LRM 43 9 0 20 Feb 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification Tian Xie Bin Wang C.-C. Jay Kuo 24 36 0 07 Jan 2021
Cross-Modality Protein Embedding for Compound-Protein Affinity and Contact Prediction Yuning You Yang Shen 25 8 0 14 Nov 2020
Training Stronger Baselines for Learning to Optimize Tianlong Chen Weiyi Zhang Jingyang Zhou Shiyu Chang Sijia Liu Lisa Amini Zhangyang Wang OffRL 19 51 0 18 Oct 2020

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

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

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