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 / 694 papers shown

Title
Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration Ziyue Luo Yixin Bao Chuan Wu GNN 11 8 0 24 Apr 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 24 46 0 21 Apr 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie Rajgopal Kannan C.-C. Jay Kuo 27 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 37 133 0 18 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 39 45 0 13 Apr 2022
Explicit Feature Interaction-aware Graph Neural Networks Minkyu Kim Hyunseung Choi Jinho Kim GNN 24 6 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 33 9 0 05 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 39 109 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 19 51 0 30 Mar 2022
Lightweight Graph Convolutional Networks with Topologically Consistent Magnitude Pruning H. Sahbi GNN 15 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 39 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 37 75 0 21 Mar 2022
LEReg: Empower Graph Neural Networks with Local Energy Regularization Xiaojun Ma Hanyue Chen Guojie Song 24 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 26 10 0 20 Mar 2022
Deep reinforcement learning guided graph neural networks for brain network analysis Xusheng Zhao Jia Wu Hao Peng Amin Beheshti Jessica J. M. Monaghan ... Mark Dras Qiong Dai Yangyang Li Philip S. Yu Lifang He GNN 30 44 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 24 41 0 12 Mar 2022
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling Junhua Ma Jiajun Li Xueming Li Xu Li 3DPC GNN 13 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 18 107 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 40 59 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 13 32 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 18 8 0 27 Feb 2022
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Feng Xia Xu Feng Jing Ren Huan Liu 24 41 0 23 Feb 2022
Graph Lifelong Learning: A Survey F. Febrinanto Feng Xia Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 39 51 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 34 2 0 18 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 27 219 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 32 6 0 15 Feb 2022
Random Laplacian Features for Learning with Hyperbolic Space Tao Yu Chris De Sa 22 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 16 42 0 10 Feb 2022
Simplified Graph Convolution with Heterophily Sudhanshu Chanpuriya Cameron Musco 21 25 0 08 Feb 2022
A Mini-Block Fisher Method for Deep Neural Networks Achraf Bahamou D. Goldfarb Yi Ren ODL 34 9 0 08 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences Meng Liu Shuiwang Ji GNN 22 3 0 07 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion Md. Khaledur Rahman Abhigya Agrawal A. Azad GNN BDL 29 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 29 25 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 13 49 0 02 Feb 2022
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning Zihui Xue Yuedong Yang Mengtian Yang R. Marculescu 19 9 0 31 Jan 2022
Learning Stochastic Graph Neural Networks with Constrained Variance Zhan Gao Elvin Isufi 27 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 21 26 0 23 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 27 33 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 33 144 0 19 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer Vinayak Gupta Srikanta J. Bedathur 43 19 0 16 Jan 2022
Structure Enhanced Graph Neural Networks for Link Prediction Baole Ai Zhou Qin Wen Shen Yong Li 21 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 Mihai Cucuringu 21 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 33 2 0 08 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai Wei-dong Jin Hui Liu Suhang Wang NoLa 38 92 0 01 Jan 2022
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 33 3 0 30 Dec 2021
Motif Graph Neural Network Xuexin Chen Ruichu Cai Yuan Fang Min-man Wu Zijian Li Zhifeng Hao 16 22 0 30 Dec 2021
Frame invariance and scalability of neural operators for partial differential equations M. Zafar Jiequn Han Xueqing Zhou Heng Xiao 16 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 29 65 0 27 Dec 2021
HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 19 34 0 22 Dec 2021
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes Lukas Galke Iacopo Vagliano Benedikt Franke Tobias Zielke Marcel Hoffmann A. Scherp CLL 29 13 0 20 Dec 2021