Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

20 May 2019

Papers citing "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"

50 / 511 papers shown

Title
Graph Embedding with Hierarchical Attentive Membership Lu Lin Ethan Blaser Hongning Wang 27 10 0 31 Oct 2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 156 133 0 29 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 23 19 0 28 Oct 2021
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks Hao Xue Kaixiong Zhou Tianlong Chen Kai Guo Xia Hu Yi Chang Xin Wang AAML 32 15 0 28 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 61 340 0 27 Oct 2021
Node Dependent Local Smoothing for Scalable Graph Learning Wentao Zhang Mingyu Yang Zeang Sheng Yang Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 24 67 0 27 Oct 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization Mucong Ding Kezhi Kong Jingling Li Chen Zhu John P. Dickerson Furong Huang Tom Goldstein GNN MQ 33 47 0 27 Oct 2021
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 30 126 0 26 Oct 2021
MG-GCN: Scalable Multi-GPU GCN Training Framework M. F. Balin Kaan Sancak Ümit V. Çatalyürek GNN 39 7 0 17 Oct 2021
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining Tim Kaler Nickolas Stathas Anne Ouyang A. Iliopoulos Tao B. Schardl C. E. Leiserson Jie Chen GNN 70 53 0 16 Oct 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen Yankai Lin Guangxiang Zhao Xuancheng Ren Peng Li Jie Zhou Xu Sun 21 88 0 08 Oct 2021
Distributed Optimization of Graph Convolutional Network using Subgraph Variance Taige Zhao Xiangyu Song Jianxin Li Wei Luo Imran Razzak GNN 40 9 0 06 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 65 177 0 06 Oct 2021
IGLU: Efficient GCN Training via Lazy Updates S. Narayanan Aditya Sinha Prateek Jain Purushottam Kar Sundararajan Sellamanickam BDL 52 11 0 28 Sep 2021
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning Li Pan Jundong Liu M. Shi C. Wong K. Chan 30 11 0 19 Sep 2021
Releasing Graph Neural Networks with Differential Privacy Guarantees Iyiola E. Olatunji Thorben Funke Megha Khosla 42 45 0 18 Sep 2021
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT Zaiqiao Meng Fangyu Liu T. H. Clark Ehsan Shareghi Nigel Collier MoE 50 37 0 10 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 45 91 0 08 Sep 2021
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification Maximilian Stubbemann Gerd Stumme 12 3 0 03 Sep 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 29 19 0 30 Aug 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph) Johannes C. Paetzold J. McGinnis Suprosanna Shit Ivan Ezhov Paul Büschl ... Anjany Sekuboyina Georgios Kaissis Ali Ertürk Stephan Günnemann Bjoern H. Menze 19 9 0 30 Aug 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 36 84 0 26 Aug 2021
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware Xin Liu Yurui Lai Shuhan Song Zhengyang Lv Wenming Li Guangyu Sun Xiaochun Ye Xiaochun Ye 24 13 0 26 Aug 2021
Graph Attention MLP with Reliable Label Utilization Wentao Zhang Ziqi Yin Zeang Sheng Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN 29 3 0 23 Aug 2021
SPAN: Subgraph Prediction Attention Network for Dynamic Graphs Yuan Li Chuanchang Chen Y. Tao Hai Lin GNN 30 1 0 17 Aug 2021
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness Xin Mao Wenting Wang Yuanbin Wu Man Lan 32 26 0 11 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 39 123 0 04 Aug 2021
FLASH: Fast Neural Architecture Search with Hardware Optimization Guihong Li Sumit K. Mandal Ümit Y. Ogras R. Marculescu 29 20 0 01 Aug 2021
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization Wentao Zhang Zhi-Xin Yang Yexin Wang Yu Shen Yang Li Liang Wang Bin Cui 14 50 0 31 Jul 2021
Local2Global: Scaling global representation learning on graphs via local training Lucas G. S. Jeub Giovanni Colavizza Xiaowen Dong Marya Bazzi Mihai Cucuringu 26 2 0 26 Jul 2021
ROD: Reception-aware Online Distillation for Sparse Graphs Wentao Zhang Yuezihan Jiang Yang Li Zeang Sheng Yu Shen Xupeng Miao Liang Wang Zhi-Xin Yang Bin Cui 24 24 0 25 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 53 18 0 21 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 27 25 0 20 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 59 95 0 01 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 29 108 0 01 Jul 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 49 129 0 24 Jun 2021
Customizing Graph Neural Networks using Path Reweighting Jianpeng Chen Yujing Wang Ming Zeng Zongyi Xiang Bitan Hou Yu Tong Ole J. Mengshoel Yazhou Ren 36 2 0 21 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 23 133 0 10 Jun 2021
Scaling Up Graph Neural Networks Via Graph Coarsening Zengfeng Huang Shengzhong Zhang Chong Xi T. Liu Min Zhou GNN 39 99 0 09 Jun 2021
Graph Belief Propagation Networks Junteng Jia Cenk Baykal Vamsi K. Potluru Austin R. Benson GNN 19 3 0 06 Jun 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search Ailing Zeng Minhao Liu Zhiwei Liu Ruiyuan Gao Jing Qin Qiang Xu 19 0 0 30 May 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 18 178 0 27 May 2021
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Huixuan Chi Yuying Wang Qinfen Hao Hong Xia GNN 24 11 0 18 May 2021
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings Athanasios Efthymiou S. Rudinac Monika Kackovic M. Worring N. Wijnberg 30 11 0 17 May 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth Keyulu Xu Mozhi Zhang Stefanie Jegelka Kenji Kawaguchi GNN 25 76 0 10 May 2021
Non-Recursive Graph Convolutional Networks Hao Chen Zengde Deng Yue Xu Zhoujun Li GNN 30 8 0 09 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng Xu Chen Jiangchao Yao Hongxia Yang Chunyuan Li Ya Zhang Hao Zhang Ivor Tsang Jingren Zhou Mingyuan Zhou SSL 42 12 0 08 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 27 54 0 07 May 2021
Scalable Graph Neural Network Training: The Case for Sampling Marco Serafini Hui Guan GNN 41 23 0 05 May 2021