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
A semantic hierarchical graph neural network for text classification Shuai Hua Xinxin Li Yun Jing Qu Liu 59 3 0 15 Sep 2022
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms Yuke Wang Boyuan Feng Zheng Wang Tong Geng Kevin J. Barker Ang Li Yufei Ding GNN 117 29 0 14 Sep 2022
Graph Contrastive Learning with Personalized Augmentation Xinyu Zhang Qiaoyu Tan Xiao Shi Huang Yue Liu 102 18 0 14 Sep 2022
Towards Sparsification of Graph Neural Networks Hongwu Peng Deniz Gurevin Shaoyi Huang Tong Geng Weiwen Jiang O. Khan Caiwen Ding GNN 103 24 0 11 Sep 2022
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath Shuai Ma Jian-wei Liu Xin Zuo SSL 69 6 0 09 Sep 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness Rebecca Salganik Fernando Diaz G. Farnadi 70 1 0 08 Sep 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks Yuchen Gui Boyi Wei W. Yuan Xi Jin GNN 69 1 0 07 Sep 2022
Rethinking Efficiency and Redundancy in Training Large-scale Graphs Xin Liu Xunbin Xiong Yurui Lai Runzhen Xue Shirui Pan Xiaochun Ye Xiaochun Ye 92 1 0 02 Sep 2022
Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel Thomas Gebhart GNN 58 1 0 19 Aug 2022
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching Yeonhong Park Sunhong Min Jae W. Lee GNN 62 38 0 19 Aug 2022
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy Md. Khaledur Rahman A. Azad GNN 87 7 0 06 Aug 2022
BiFeat: Supercharge GNN Training via Graph Feature Quantization Yuxin Ma Ping Gong Jun Yi Z. Yao Cheng-rong Li Yuxiong He Feng Yan GNN 46 6 0 29 Jul 2022
GNN Transformation Framework for Improving Efficiency and Scalability Seiji Maekawa Yuya Sasaki G. Fletcher Makoto Onizuka GNN 51 1 0 25 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory Yuwei Hu Jiajie Li Zhongming Yu Zhiru Zhang GNN 72 0 0 25 Jul 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks Han Li Changsheng Li Kaituo Feng Ye Yuan Guoren Wang H. Zha 85 14 0 22 Jul 2022
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization Ningyi Liao Dingheng Mo Siqiang Luo Xiang Li Pengcheng Yin GNN AI4CE 69 22 0 19 Jul 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks Chuang Liu Xueqi Ma Yinbing Zhan Liang Ding Dapeng Tao Di Lin Wenbin Hu Danilo Mandic 79 32 0 18 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model Haoteng Tang Guixiang Ma Lei Guo Xiyao Fu Heng-Chiao Huang Li Zhang 77 26 0 14 Jul 2022
From Spectral Graph Convolutions to Large Scale Graph Convolutional Networks Matteo Bunino SSL GNN 48 1 0 12 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks Minji Yoon Yue Wu John Palowitch Bryan Perozzi Ruslan Salakhutdinov 75 7 0 10 Jul 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling Hongkang Li Ming Wang Sijia Liu Pin-Yu Chen Jinjun Xiong GNN 78 28 0 07 Jul 2022
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition Jiang Li Xiaoping Wang Guoqing Lv Zhigang Zeng 132 41 0 06 Jul 2022
A Safe Semi-supervised Graph Convolution Network Zhi Yang Yadong Yan Haitao Gan Jing Zhao Zhiwei Ye GNN 45 3 0 05 Jul 2022
Learning node embeddings via summary graphs: a brief theoretical analysis Houquan Zhou Shenghua Liu Danai Koutra Huawei Shen Xueqi Cheng 29 0 0 04 Jul 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification Jae-gyun Song Joonhyung Park Eunho Yang 83 55 0 26 Jun 2022
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 86 76 0 26 Jun 2022
Sampling Enclosing Subgraphs for Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari GNN 97 15 0 23 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 87 20 0 22 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning Wentao Zhang Zeang Sheng Mingyu Yang Yang Li Yu Shen Zhi-Xin Yang Tengjiao Wang AAML 69 17 0 17 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 83 39 0 14 Jun 2022
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks Kaituo Feng Changsheng Li Ye Yuan Guoren Wang 105 35 0 14 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 84 117 0 10 Jun 2022
Graph Attention Multi-Layer Perceptron Wentao Zhang Ziqi Yin Zeang Sheng Yang Li Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 90 108 0 09 Jun 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 125 8 0 08 Jun 2022
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy Yeqing Qiu Chenyu Huang Jianzong Wang Zhangcheng Huang Jing Xiao FedML 71 14 0 07 Jun 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 117 44 0 07 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 65 23 0 03 Jun 2022
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks Yifan Chen Tianning Xu Dilek Z. Hakkani-Tür Di Jin Yun Yang Ruoqing Zhu 114 4 0 01 Jun 2022
InducT-GCN: Inductive Graph Convolutional Networks for Text Classification Kunze Wang S. Han Josiah Poon GNN 74 39 0 01 Jun 2022
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning Yongqi Zhang Zhanke Zhou Quanming Yao Xiaowen Chu Bo Han 55 49 0 30 May 2022
Personalized PageRank Graph Attention Networks Julie Choi GNN 32 6 0 27 May 2022
Bayesian Robust Graph Contrastive Learning Yancheng Wang Yingzhen Yang OOD 68 1 0 27 May 2022
Faster Optimization on Sparse Graphs via Neural Reparametrization Nima Dehmamy C. Both J. Long Rose Yu 56 1 0 26 May 2022
Learn to Cluster Faces via Pairwise Classification Junfu Liu Di Qiu Pengfei Yan Xiaolin K. Wei CVBM 3DH 75 14 0 26 May 2022
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation Xuan Kan Hejie Cui Joshua Lukemire Ying Guo Carl Yang 95 91 0 25 May 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 134 204 0 23 May 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection Bingzhe Wu Jintang Li Junchi Yu Yatao Bian Hengtong Zhang ... Guangyu Sun Peng Cui Zibin Zheng Zhe Liu P. Zhao OOD 111 28 0 20 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 111 57 0 19 May 2022
A Simple Yet Effective SVD-GCN for Directed Graphs Chunya Zou Andi Han Lequan Lin Junbin Gao GNN 102 7 0 19 May 2022
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification Kai Zhang Qi Liu Zhenya Huang Mingyue Cheng Kunpeng Zhang Mengdi Zhang Wei Wu Enhong Chen 52 17 0 18 May 2022