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
GraphSnapShot: Caching Local Structure for Fast Graph Learning Dong Liu R. Waleffe Meng Jiang Shivaram Venkataraman GNN 3DH 23 0 0 25 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 31 21 0 21 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs Kun Wang Guibin Zhang Xinnan Zhang Junfeng Fang Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 38 4 0 18 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 32 1 0 17 Jun 2024
Learning Physical Simulation with Message Passing Transformer Zeyi Xu Yifei Li AI4CE 50 1 0 10 Jun 2024
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch Saurabh Bajaj Hui Guan Marco Serafini GNN 33 1 0 01 Jun 2024
Learning on Large Graphs using Intersecting Communities Ben Finkelshtein .Ismail .Ilkan Ceylan Michael M. Bronstein Ron Levie GNN 38 5 0 31 May 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Zhengwu Zhang Yuntong Hu Bo Pan Chen Ling Liang Zhao 41 2 0 27 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks Siddhartha Shankar Das S. Ferdous M. Halappanavar Edoardo Serra A. Pothen 39 2 0 24 May 2024
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks Shuai Wang David W. Zhang Jia-Hong Huang S. Rudinac Monika Kackovic N. Wijnberg M. Worring 34 1 0 22 May 2024
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks QingGuo Qi Hongyang Chen Minhao Cheng Han Liu 35 0 0 11 May 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training Renjie Liu Yichuan Wang Xiao Yan Zhenkun Cai Minjie Wang Haitian Jiang Bo Tang Jinyang Li GNN 47 2 0 08 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 42 3 0 07 May 2024
Training-free Graph Neural Networks and the Power of Labels as Features Ryoma Sato 37 4 0 30 Apr 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs Minjie Wang Quan Gan David Wipf Zhenkun Cai Ning Li ... Chuan Lei Mu-Nan Zhang Weinan Zhang Christos Faloutsos Zheng-Wei Zhang 46 3 0 28 Apr 2024
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation Zhiwei Hu Víctor Gutiérrez-Basulto Zhiliang Xiang Ru Li Jeff Z. Pan 33 0 0 15 Apr 2024
GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration Tong Qiao Jianlei Yang Yingjie Qi Ao Zhou Chen Bai Bei Yu Weisheng Zhao Chunming Hu 48 1 0 15 Apr 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing Adarsh Jamadandi Celia Rubio-Madrigal R. Burkholz 45 1 0 06 Apr 2024
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks Yongyi Yang Jiaming Yang Wei Hu Michal Dereziñski 48 0 0 26 Mar 2024
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network Ningyi Liao Zihao Yu Siqiang Luo GNN 30 0 0 20 Mar 2024
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning Daixin Wang Qing Cui Yeyu Zhao Kai Huang Yulin Kang Jun Zhou AI4TS 30 11 0 11 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Yurui Lai Kun He Wei Yan Shirui Pan Xiaochun Ye Xiaochun Ye AAML 28 2 0 10 Mar 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling Hussein Abdallah Waleed Afandi Panos Kalnis Essam Mansour 35 2 0 09 Mar 2024
Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks Yiwei Zou Ting Li Zong-fu Luo GNN 37 0 0 08 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 36 35 0 07 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 40 8 0 06 Mar 2024
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN SSL 32 2 0 06 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 52 2 0 04 Mar 2024
Graph Regularized Encoder Training for Extreme Classification Anshul Mittal Shikhar Mohan Deepak Saini Suchith C. Prabhu Jain jiao ... Manik Varma Sumeet Agarwal Soumen Chakrabarti Purushottam Kar Manik Varma GNN 38 0 0 28 Feb 2024
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline Guangming Sheng Junwei Su Chao Huang Chuan Wu 33 5 0 23 Feb 2024
Linear-Time Graph Neural Networks for Scalable Recommendations Jiahao Zhang Rui Xue Wenqi Fan Xin Xu Qing Li Jian Pei Xiaorui Liu AI4CE 40 25 0 21 Feb 2024
Scalable Graph Self-Supervised Learning Ali Saheb Pasand Reza Moravej Mahdi Biparva Raika Karimi Ali Ghodsi SSL 19 0 0 14 Feb 2024
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph Linfeng Cao Haoran Deng Yang Yang Chunping Wang Lei Chen 31 9 0 14 Feb 2024
LLaGA: Large Language and Graph Assistant Runjin Chen Tong Zhao Ajay Jaiswal Neil Shah Zhangyang Wang 23 54 0 13 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning Xunkai Li Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 36 11 0 09 Feb 2024
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning Gangda Deng Hongkuan Zhou Hanqing Zeng Yinglong Xia Christopher Leung Jianbo Li Rajgopal Kannan Viktor Prasanna 26 1 0 08 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Junfeng Fang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 53 19 0 05 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun Xia Bozhen Hu Stan Z. Li 46 6 0 04 Feb 2024
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders Ruikang Ouyang Andrew Elliott Stratis Limnios Mihai Cucuringu Gesine Reinert GNN 19 2 0 02 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness Guibin Zhang Xinfeng Li Kun Wang Junfeng Fang Yongduo Sui Kai Wang Keli Zhang Dawei Cheng Shirui Pan Tianlong Chen 27 10 0 02 Feb 2024
PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs Ying Su Jipeng Zhang Yangqiu Song Tong Zhang 30 0 0 31 Jan 2024
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently Zicun Cong Baoxu Shi Shan Li Jaewon Yang Qi He Jian Pei 52 4 0 26 Jan 2024
Topology-aware Embedding Memory for Continual Learning on Expanding Networks Xikun Zhang Dongjin Song Yixin Chen Dacheng Tao 34 3 0 24 Jan 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs Jaeyoon Sim Sooyeon Jeon Injun Choi Guorong Wu Won Hwa Kim 30 3 0 22 Jan 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning Xunkai Li Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 32 16 0 22 Jan 2024
H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses Haidong Gu Nathan Gaw Yinan Wang Chancellor Johnstone Christine Beauchene S. Yuditskaya Hrishikesh Rao Chun-An Chou 28 1 0 05 Jan 2024
Strong Transitivity Relations and Graph Neural Networks Yassin Mohamadi M. H. Chehreghani GNN 27 2 0 01 Jan 2024
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection H. Sahbi 29 0 0 28 Dec 2023
Graph Transformers for Large Graphs Vijay Prakash Dwivedi Yozen Liu A. Luu Xavier Bresson Neil Shah Tong Zhao GNN 29 8 0 18 Dec 2023
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity Zhihao Zhu Chenwang Wu Rui Fan Yi Yang Defu Lian Enhong Chen AAML 25 0 0 18 Dec 2023