FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

30 January 2018

Papers citing "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling"

50 / 696 papers shown

Title
LPGNet: Link Private Graph Networks for Node Classification Aashish Kolluri Teodora Baluta Bryan Hooi Prateek Saxena 106 27 0 06 May 2022
Spiking Graph Convolutional Networks Zulun Zhu Jiaying Peng Jintang Li Liang Chen Qi Yu Siqiang Luo GNN 62 46 0 05 May 2022
Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration Ziyue Luo Yixin Bao Chuan Wu GNN 35 9 0 24 Apr 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 45 53 0 21 Apr 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie Rajgopal Kannan C.-C. Jay Kuo 49 2 0 19 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 109 144 0 18 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 108 51 0 13 Apr 2022
Explicit Feature Interaction-aware Graph Neural Networks Minkyu Kim Hyunseung Choi Jinho Kim GNN 73 8 0 07 Apr 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 88 11 0 05 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 112 124 0 04 Apr 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation Hao Chen Zhong Huang Yue Xu Zengde Deng Feiran Huang Peng He Zhoujun Li GNN 53 52 0 30 Mar 2022
Lightweight Graph Convolutional Networks with Topologically Consistent Magnitude Pruning H. Sahbi GNN 49 1 0 25 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 93 19 0 23 Mar 2022
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling Cheng Wan Youjie Li Ang Li Namjae Kim Yingyan Lin GNN 98 79 0 21 Mar 2022
LEReg: Empower Graph Neural Networks with Local Energy Regularization Xiaojun Ma Hanyue Chen Guojie Song 62 3 0 20 Mar 2022
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest Yuezihan Jiang Yu Cheng Hanyu Zhao Wentao Zhang Xupeng Miao Yu He Liang Wang Zhi-Xin Yang Tengjiao Wang GNN 53 10 0 20 Mar 2022
Deep reinforcement learning guided graph neural networks for brain network analysis Xusheng Zhao Hongzhi Zhang Hao Peng Amin Beheshti Jessica J. M. Monaghan ... Mark Dras Qiong Dai Yangyang Li Philip S. Yu Lifang He GNN 101 47 0 18 Mar 2022
GRAND+: Scalable Graph Random Neural Networks Wenzheng Feng Yuxiao Dong Tinglin Huang Ziqi Yin Xu Cheng Evgeny Kharlamov Jie Tang GNN 68 43 0 12 Mar 2022
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling Junhua Ma Jiajun Li Xueming Li Xu Li 3DPC GNN 31 1 0 11 Mar 2022
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization Tong Geng Chunshu Wu Yongan Zhang Cheng Tan Chenhao Xie Haoran You Martin C. Herbordt Yingyan Lin Ang Li GNN 72 113 0 07 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN 110 61 0 01 Mar 2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Yanbang Wang Jianguo Wang Pan Li 65 37 0 28 Feb 2022
A Dual Neighborhood Hypergraph Neural Network for Change Detection in VHR Remote Sensing Images Junzheng Wu Ruigang Fu Qiang Liu W. Ni Kenan Cheng Biao Li Yuli Sun 69 8 0 27 Feb 2022
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Xiwei Xu Xu Feng Jing Ren Huan Liu 79 44 0 23 Feb 2022
Graph Lifelong Learning: A Survey F. Febrinanto Xiwei Xu Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 120 53 0 22 Feb 2022
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting Lin Huang Lijun Wu Jia Zhang Jiang Bian Tie-Yan Liu AI4TS 41 2 0 18 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 84 233 0 16 Feb 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack Jintang Li Bingzhe Wu Chengbin Hou Guoji Fu Yatao Bian Liang Chen Junzhou Huang Zibin Zheng OOD AAML 89 6 0 15 Feb 2022
Random Laplacian Features for Learning with Hyperbolic Space Tao Yu Chris De Sa 45 8 0 14 Feb 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye Shirui Pan Yuan Xie GNN 65 44 0 10 Feb 2022
Simplified Graph Convolution with Heterophily Sudhanshu Chanpuriya Cameron Musco 81 24 0 08 Feb 2022
A Mini-Block Fisher Method for Deep Neural Networks Achraf Bahamou Shiqian Ma Yi Ren ODL 82 9 0 08 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences Meng Liu Shuiwang Ji GNN 69 3 0 07 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion Md. Khaledur Rahman Abhigya Agrawal A. Azad GNN BDL 66 2 0 05 Feb 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks R. Waleffe J. Mohoney Theodoros Rekatsinas Shivaram Venkataraman GNN 77 27 0 04 Feb 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction Guillaume Salha-Galvan J. Lutzeyer George Dasoulas Romain Hennequin Michalis Vazirgiannis 119 53 0 02 Feb 2022
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning Zihui Xue Yuedong Yang Mengtian Yang R. Marculescu 110 9 0 31 Jan 2022
Learning Stochastic Graph Neural Networks with Constrained Variance Zhan Gao Elvin Isufi 109 5 0 29 Jan 2022
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs Miryeong Kwon Donghyun Gouk Sangwon Lee Myoungsoo Jung GNN 40 27 0 23 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 70 35 0 20 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 92 148 0 19 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer Vinayak Gupta Srikanta J. Bedathur 87 19 0 16 Jan 2022
Structure Enhanced Graph Neural Networks for Link Prediction Baole Ai Zhou Qin Wen Shen Yong Li 67 7 0 14 Jan 2022
Local2Global: A distributed approach for scaling representation learning on graphs Lucas G. S. Jeub Giovanni Colavizza Xiaowen Dong Marya Bazzi Ning Zhang 66 1 0 12 Jan 2022
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks Mubashir Imran Hongzhi Yin Tong Chen Zi Huang Kai Zheng 63 2 0 08 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai Wei Jin Hui Liu Suhang Wang NoLa 103 97 0 01 Jan 2022
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 62 3 0 30 Dec 2021
Motif Graph Neural Network Xuexin Chen Ruichu Cai Yuan Fang Min-man Wu Zijian Li Zijian Li 70 22 0 30 Dec 2021
Frame invariance and scalability of neural operators for partial differential equations M. Zafar Jiequn Han Xueqing Zhou Heng Xiao 25 5 0 28 Dec 2021
Block Modeling-Guided Graph Convolutional Neural Networks Dongxiao He Chundong Liang Huixin Liu Ming-Chang Wen Pengfei Jiao Zhiyong Feng GNN 87 67 0 27 Dec 2021