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
HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 64 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 89 14 0 20 Dec 2021
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods Md. Khaledur Rahman A. Azad AI4TS 50 3 0 20 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 94 56 0 18 Dec 2021
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast Linpu Jiang Ke-Jia Chen Jingqiang Chen SSL 70 12 0 16 Dec 2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing Tianfeng Liu Yangrui Chen Dan Li Chuan Wu Yibo Zhu Jun He Size Zheng Hongzheng Chen Hongzhi Chen Chuanxiong Guo GNN 81 79 0 16 Dec 2021
Efficient Dynamic Graph Representation Learning at Scale Xinshi Chen Yan Zhu Haowen Xu Mengya Liu Liang Xiong Muhan Zhang Le Song 59 7 0 14 Dec 2021
A Comparative Study on Robust Graph Neural Networks to Structural Noises Zeyu Zhang Yulong Pei NoLa AAML 47 5 0 11 Dec 2021
Adaptive Kernel Graph Neural Network Mingxuan Ju Shifu Hou Yujie Fan Jianan Zhao Liang Zhao Yanfang Ye 124 24 0 08 Dec 2021
SCR: Training Graph Neural Networks with Consistency Regularization Chenhui Zhang Yufei He Yukuo Cen Zhenyu Hou Wenzheng Feng Yuxiao Dong Xu Cheng Hongyun Cai Feng He Jie Tang 81 8 0 08 Dec 2021
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 78 28 0 06 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 86 22 0 04 Dec 2021
Self-supervised Graph Learning for Occasional Group Recommendation Bowen Hao Hongzhi Yin Cuiping Li Hong Chen 83 7 0 04 Dec 2021
Multi-task Self-distillation for Graph-based Semi-Supervised Learning Yating Ren Junzhong Ji Lingfeng Niu Minglong Lei SSL 115 7 0 02 Dec 2021
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning Jun Hu Shengsheng Qian Quan Fang Changsheng Xu GNN 44 0 0 02 Dec 2021
Graph Convolutional Module for Temporal Action Localization in Videos Runhao Zeng Wenbing Huang Mingkui Tan Yu Rong P. Zhao Junzhou Huang Chuang Gan 82 66 0 01 Dec 2021
Hierarchical Prototype Networks for Continual Graph Representation Learning Xikun Zhang Dongjin Song Dacheng Tao CLL 70 37 0 30 Nov 2021
Multi-objective Explanations of GNN Predictions Yifei Liu Chao Chen Yazheng Liu Xi Zhang Sihong Xie 67 13 0 29 Nov 2021
Network In Graph Neural Network Xiang Song Runjie Ma Jiahang Li Muhan Zhang David Wipf GNN 43 10 0 23 Nov 2021
Network representation learning: A macro and micro view Xueyi Liu Jie Tang GNN AI4TS 78 23 0 21 Nov 2021
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits Hao Chen Lili Zheng Raed Al Kontar Garvesh Raskutti 81 3 0 19 Nov 2021
Keypoint Message Passing for Video-based Person Re-Identification Di Chen Andreas Doering Shanshan Zhang Jian Yang Juergen Gall Bernt Schiele 74 21 0 16 Nov 2021
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering Yaoming Cai Zijia Zhang Z. Cai Xiaobo Liu Yao Ding Pedram Ghamisi FedML 56 1 0 15 Nov 2021
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 59 45 0 14 Nov 2021
Simplifying approach to Node Classification in Graph Neural Networks S. Maurya Xin Liu T. Murata 127 81 0 12 Nov 2021
AnchorGAE: General Data Clustering via $O(n)$ Bipartite Graph Convolution Hongyuan Zhang Jiankun Shi Rui Zhang Xuelong Li GNN 101 1 0 12 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 236 15 0 12 Nov 2021
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs Hesham Mostafa GNN 99 25 0 11 Nov 2021
Implicit SVD for Graph Representation Learning Sami Abu-El-Haija Hesham Mostafa Marcel Nassar V. Crespi Greg Ver Steeg Aram Galstyan 64 5 0 11 Nov 2021
LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs Eitan Kosman J. Oren Dotan Di Castro 42 0 0 10 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling Fahao Chen Peng Li T. Miyazaki Celimuge Wu FedML 86 81 0 02 Nov 2021
GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing Zhe Zhou Cong Li Xuechao Wei Xiaoyang Wang Guangyu Sun GNN 24 28 0 01 Nov 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 149 361 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 Tengjiao Wang 84 69 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 107 49 0 27 Oct 2021
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 109 135 0 26 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 120 89 0 26 Oct 2021
ifMixup: Interpolating Graph Pair to Regularize Graph Classification Hongyu Guo Yongyi Mao 65 11 0 18 Oct 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang Yozen Liu Yizhou Sun Neil Shah 97 185 0 17 Oct 2021
MG-GCN: Scalable Multi-GPU GCN Training Framework M. F. Balin Kaan Sancak Ümit V. Çatalyürek GNN 67 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 142 55 0 16 Oct 2021
Label-Wise Graph Convolutional Network for Heterophilic Graphs Enyan Dai Shijie Zhou Zhimeng Guo Suhang Wang 127 20 0 15 Oct 2021
Which Samples Should be Learned First: Easy or Hard? Xiaoling Zhou Ou Wu 69 17 0 11 Oct 2021
New Insights into Graph Convolutional Networks using Neural Tangent Kernels Mahalakshmi Sabanayagam Pascal Esser Debarghya Ghoshdastidar 58 6 0 08 Oct 2021
Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels Artun Bayer Arindam Chowdhury Santiago Segarra 64 5 0 07 Oct 2021
Distributed Optimization of Graph Convolutional Network using Subgraph Variance Taige Zhao Xiangyu Song Jianxin Li Wei Luo Imran Razzak GNN 60 9 0 06 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun Xia Lirong Wu Ge Wang Jintao Chen Stan Z. Li 69 123 0 05 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 110 37 0 03 Oct 2021
IGLU: Efficient GCN Training via Lazy Updates S. Narayanan Aditya Sinha Prateek Jain Purushottam Kar Sundararajan Sellamanickam BDL 82 12 0 28 Sep 2021
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks Jieming Zhou Tong Zhang Pengfei Fang L. Petersson Mehrtash Harandi GNN 111 1 0 20 Sep 2021