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
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 41 15 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 30 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 37 5 0 09 Sep 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness Rebecca Salganik Fernando Diaz G. Farnadi 24 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 19 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 21 1 0 02 Sep 2022
Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel Thomas Gebhart GNN 28 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 32 34 0 19 Aug 2022
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy Md. Khaledur Rahman A. Azad GNN 45 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 21 6 0 29 Jul 2022
GNN Transformation Framework for Improving Efficiency and Scalability Seiji Maekawa Yuya Sasaki G. Fletcher Makoto Onizuka GNN 22 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 39 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 34 13 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 21 21 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 Bo Du Wenbin Hu Danilo Mandic 42 28 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 28 24 0 14 Jul 2022
From Spectral Graph Convolutions to Large Scale Graph Convolutional Networks Matteo Bunino SSL GNN 26 1 0 12 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks Minji Yoon Yue Wu John Palowitch Bryan Perozzi Ruslan Salakhutdinov 19 7 0 10 Jul 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling Hongkang Li Hao Wu Sijia Liu Pin-Yu Chen Jinjun Xiong GNN 16 27 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 39 37 0 06 Jul 2022
A Safe Semi-supervised Graph Convolution Network Zhi Yang Yadong Yan Haitao Gan Jing Zhao Zhiwei Ye GNN 21 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 27 0 0 04 Jul 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification Jae-gyun Song Joonhyung Park Eunho Yang 31 52 0 26 Jun 2022
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 19 74 0 26 Jun 2022
Sampling Enclosing Subgraphs for Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari GNN 27 14 0 23 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 37 17 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 Bin Cui AAML 31 16 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 37 39 0 14 Jun 2022
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks Kaituo Feng Changsheng Li Ye Yuan Guoren Wang 33 32 0 14 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 33 102 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 Bin Cui GNN AI4CE 38 99 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 36 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 22 12 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 31 36 0 07 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 27 20 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 24 4 0 01 Jun 2022
InducT-GCN: Inductive Graph Convolutional Networks for Text Classification Kunze Wang S. Han Josiah Poon GNN 26 37 0 01 Jun 2022
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning Yongqi Zhang Zhanke Zhou Quanming Yao X. Chu Bo Han 22 44 0 30 May 2022
Personalized PageRank Graph Attention Networks Julie Choi GNN 13 5 0 27 May 2022
Bayesian Robust Graph Contrastive Learning Yancheng Wang Yingzhen Yang OOD 25 1 0 27 May 2022
Faster Optimization on Sparse Graphs via Neural Reparametrization Nima Dehmamy C. Both J. Long Rose Yu 13 0 0 26 May 2022
Learn to Cluster Faces via Pairwise Classification Junfu Liu Di Qiu Pengfei Yan Xiaolin K. Wei CVBM 3DH 36 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 11 85 0 25 May 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 80 181 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 45 25 0 20 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
A Simple Yet Effective SVD-GCN for Directed Graphs Chunya Zou Andi Han Lequan Lin Junbin Gao GNN 66 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 32 15 0 18 May 2022
LPGNet: Link Private Graph Networks for Node Classification Aashish Kolluri Teodora Baluta Bryan Hooi Prateek Saxena 35 24 0 06 May 2022
Spiking Graph Convolutional Networks Zulun Zhu Jiaying Peng Jintang Li Liang Chen Qi Yu Siqiang Luo GNN 22 46 0 05 May 2022