GraphSAINT: Graph Sampling Based Inductive Learning Method

10 July 2019

Papers citing "GraphSAINT: Graph Sampling Based Inductive Learning Method"

50 / 542 papers shown

Title
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes Tu Anh Dinh J. D. Boef J. Cornelisse Paul T. Groth 17 9 0 09 Aug 2022
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy Md. Khaledur Rahman A. Azad GNN 34 7 0 06 Aug 2022
An Efficient Person Clustering Algorithm for Open Checkout-free Groceries Junde Wu Yu Zhang Rao Fu Yuanpei Liu Jing Gao 19 1 0 05 Aug 2022
Robust Graph Neural Networks using Weighted Graph Laplacian Bharat Runwal Vivek Sandeep Kumar AAML OOD 17 4 0 03 Aug 2022
Adversarial Camouflage for Node Injection Attack on Graphs Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Liang Hou Fei Sun Xueqi Cheng AAML GNN 20 21 0 03 Aug 2022
GNN Transformation Framework for Improving Efficiency and Scalability Seiji Maekawa Yuya Sasaki G. Fletcher Makoto Onizuka GNN 7 1 0 25 Jul 2022
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning Yuehui Han Le Hui Haobo Jiang J. Qian Jin Xie SSL 4 13 0 25 Jul 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks Han Li Changsheng Li Kaituo Feng Ye Yuan Guoren Wang H. Zha 18 12 0 22 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 P. Mandic 19 28 0 18 Jul 2022
From Spectral Graph Convolutions to Large Scale Graph Convolutional Networks Matteo Bunino SSL GNN 11 1 0 12 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks Minji Yoon Yue Wu John Palowitch Bryan Perozzi Ruslan Salakhutdinov 17 7 0 10 Jul 2022
Learning node embeddings via summary graphs: a brief theoretical analysis Houquan Zhou Shenghua Liu Danai Koutra Huawei Shen Xueqi Cheng 17 0 0 04 Jul 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network Andreas Roth Thomas Liebig GNN 31 13 0 01 Jul 2022
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture Chengming Zhang Tong Geng Anqi Guo Jiannan Tian Martin C. Herbordt Ang Li Dingwen Tao GNN 16 27 0 28 Jun 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 69 45 0 28 Jun 2022
Sampling Enclosing Subgraphs for Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari GNN 14 14 0 23 Jun 2022
Affinity-Aware Graph Networks A. Velingker A. Sinop Ira Ktena Petar Velickovic Sreenivas Gollapudi GNN 46 16 0 23 Jun 2022
GACT: Activation Compressed Training for Generic Network Architectures Xiaoxuan Liu Lianmin Zheng Dequan Wang Yukuo Cen Weize Chen ... Zhiyuan Liu Jie Tang Joey Gonzalez Michael W. Mahoney Alvin Cheung VLM GNN MQ 17 30 0 22 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 12 17 0 22 Jun 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu Yingtong Dou Yue Zhao Xueying Ding Xiyang Hu ... Lichao Sun Jundong Li George H. Chen Zhihao Jia Philip S. Yu OOD 21 90 0 21 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 17 20 0 18 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 18 16 0 17 Jun 2022
DFG-NAS: Deep and Flexible Graph Neural Architecture Search Wentao Zhang Zheyu Lin Yu Shen Yang Li Zhi-Xin Yang Bin Cui GNN AI4CE 21 5 0 17 Jun 2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 17 12 0 17 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 22 115 0 16 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 21 97 0 15 Jun 2022
Taxonomy of Benchmarks in Graph Representation Learning Renming Liu Semih Cantürk Frederik Wenkel Sarah McGuire Devin Kreuzer ... Michael Perlmutter Bastian Alexander Rieck M. Hirn Guy Wolf Ladislav Rampášek OOD 16 13 0 15 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 14 39 0 14 Jun 2022
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search Yingguang Yang Renyu Yang Yangyang Li Kai Cui Zhiqin Yang Yue Wang Jie Xu Haiyong Xie 17 45 0 14 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 16 101 0 10 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 21 39 0 09 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 22 97 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 26 8 0 08 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 29 34 0 07 Jun 2022
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering Shouheng Li Dongwoo Kim Qing Wang 13 14 0 06 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 16 19 0 03 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 19 44 0 02 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 13 4 0 01 Jun 2022
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization Zheng Chai Guangji Bai Liang Zhao Yue Cheng GNN 12 3 0 31 May 2022
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning Yongqi Zhang Zhanke Zhou Quanming Yao X. Chu Bo Han 17 43 0 30 May 2022
Rethinking the Setting of Semi-supervised Learning on Graphs Ziang Li Ming Ding Weikai Li Zihan Wang Ziyu Zeng Yukuo Cen Jie Tang 6 0 0 28 May 2022
Deep Ensembles for Graphs with Higher-order Dependencies Steven J. Krieg William C. Burgis Patrick M. Soga Nitesh V. Chawla AI4CE GNN 9 3 0 27 May 2022
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation Bin Lu Xiaoying Gan Lina Yang Weinan Zhang Luoyi Fu Xinbing Wang CLL 11 27 0 27 May 2022
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations Ivan Marisca Andrea Cini C. Alippi AI4TS 18 62 0 26 May 2022
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation Huarui He Jie Wang Zhanqiu Zhang Feng Wu 22 40 0 24 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 32 55 0 19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 41 104 0 16 May 2022
NDGGNET-A Node Independent Gate based Graph Neural Networks Ye Tang Xuesong Yang Xinrui Liu Xiwei Zhao Zhangang Lin Changping Peng GNN 17 0 0 11 May 2022
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures Yunjae Lee Jin-Won Chung Minsoo Rhu GNN 17 48 0 10 May 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 6 46 0 21 Apr 2022