GraphSAINT: Graph Sampling Based Inductive Learning Method

10 July 2019

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

50 / 542 papers shown

Title
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance Jie Sun Mo Sun Zheng Zhang Jun Xie Zuocheng Shi Zihan Yang Jie M. Zhang Fei Wu Zeke Wang GNN 29 5 0 02 Oct 2023
Revisiting Link Prediction: A Data Perspective Haitao Mao Juanhui Li Harry Shomer Bingheng Li Wenqi Fan Yao Ma Tong Zhao Neil Shah Jiliang Tang 41 22 0 01 Oct 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Xia Hu 29 0 0 29 Sep 2023
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification Niful Islam Humaira Noor Md. Saddam Hossain Mukta Nur Shazwani Binti Kamarudin Mohaimenul Azam Khan Raiaan Sami Azam 14 7 0 28 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 19 6 0 26 Sep 2023
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks Shuai Wang Jiayi Shen Athanasios Efthymiou S. Rudinac Monika Kackovic N. Wijnberg M. Worring 21 0 0 22 Sep 2023
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update Dan Wu Zhaoying Li Tulika Mitra GNN 8 0 0 20 Sep 2023
Uncertainty-aware Traffic Prediction under Missing Data Hao Mei Junxian Li Zhiming Liang Guanjie Zheng Bin Shi Hua Wei EDL 16 6 0 13 Sep 2023
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs Yide Qiu Shaoxiang Ling Tong Zhang Bo Huang Zhen Cui 31 0 0 11 Sep 2023
ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search Enes Altinisik Fatih Deniz H. Sencar 20 15 0 07 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks Fahao Chen Peng Li Celimuge Wu GNN 21 3 0 07 Sep 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 25 0 0 30 Aug 2023
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs P. Phothilimthana Sami Abu-El-Haija Kaidi Cao Bahare Fatemi Mike Burrows Charith Mendis Bryan Perozzi GNN AI4TS 20 15 0 25 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Liang Zhao GNN 11 3 0 25 Aug 2023
Cached Operator Reordering: A Unified View for Fast GNN Training Julia Bazinska Andrei Ivanov Tal Ben-Nun Nikoli Dryden Maciej Besta Siyuan Shen Torsten Hoefler GNN 14 3 0 23 Aug 2023
Geometric instability of graph neural networks on large graphs Emily L Morris Haotian Shen Weiling Du Muhammad Hamza Sajjad Borun Shi GNN 22 0 0 19 Aug 2023
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism Jingji Chen Zhuoming Chen Xuehai Qian GNN AI4CE 21 3 0 19 Aug 2023
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification Arpit Merchant Carlos Castillo 23 3 0 18 Aug 2023
Communication-Free Distributed GNN Training with Vertex Cut Kaidi Cao Rui Deng Shirley Wu E-Wen Huang Karthik Subbian J. Leskovec GNN 11 3 0 06 Aug 2023
Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration Paul Chen Pavan Manjunath Sasindu Wijeratne Bingyi Zhang Viktor Prasanna GNN 13 8 0 04 Aug 2023
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning Keyu Duan Qian Liu Tat-Seng Chua Shuicheng Yan Wei Tsang Ooi Qizhe Xie Junxian He 22 54 0 03 Aug 2023
Graph Condensation for Inductive Node Representation Learning Xin Gao Tong Chen Yilong Zang Wentao Zhang Quoc Viet Hung Nguyen Kai Zheng Hongzhi Yin DD AI4CE 27 32 0 29 Jul 2023
Node Injection Link Stealing Attack Oualid Zari Javier Parra-Arnau Ayşe Ünsal Melek Önen 20 2 0 25 Jul 2023
Learning Adaptive Neighborhoods for Graph Neural Networks Avishkar Saha Oscar Alejandro Mendez Maldonado Chris Russell Richard Bowden GNN 11 4 0 18 Jul 2023
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test Arjun Subramonian Adina Williams Maximilian Nickel Yizhou Sun Levent Sagun 14 0 0 11 Jul 2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks Saket Gurukar S. Venkatakrishnan B. Ravindran Srinivas Parthasarathy GNN 20 0 0 25 Jun 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 29 22 0 24 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jiaqi Han Wen-bing Huang Yu Rong Tingyang Xu Fuchun Sun Junzhou Huang 8 5 0 21 Jun 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu Wen-Long Zhao Chenxiao Yang Hengrui Zhang Fan Nie Haitian Jiang Yatao Bian Junchi Yan AI4CE 33 74 0 19 Jun 2023
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification Le-le Cao Vilhelm von Ehrenheim Mark Granroth-Wilding Richard Anselmo Stahl Andrew McCornack Armin Catovic Dhiana Deva Cavalcanti Rocha 22 3 0 18 Jun 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang GNN 31 5 0 18 Jun 2023
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions Fang Li Yi Nian Zenan Sun Cui Tao LM&MA OOD AI4TS AI4CE 25 5 0 18 Jun 2023
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs N. Lell A. Scherp 30 1 0 15 Jun 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation Zhanke Zhou Chenyu Zhou Xuan Li Jiangchao Yao Quanming Yao Bo Han AAML 29 17 0 15 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Mo Cheng Bin Yin Suhang Wang AAML 17 14 0 14 Jun 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 17 206 0 14 Jun 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization Xiner Li Shurui Gui Youzhi Luo Shuiwang Ji OODD OOD 10 10 0 13 Jun 2023
Efficient GNN Explanation via Learning Removal-based Attribution Yao Rong Guanchu Wang Qizhang Feng Ninghao Liu Zirui Liu Enkelejda Kasneci Xia Hu 15 9 0 09 Jun 2023
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs Zehui Li Xiangyu Zhao Mingzhu Shen Guy-Bart Stan Pietro Lio' Yiren Zhao 12 1 0 08 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 32 6 0 07 Jun 2023
Explaining and Adapting Graph Conditional Shift Qi Zhu Yizhu Jiao Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 8 10 0 05 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 29 58 0 05 Jun 2023
Graph Entropy Minimization for Semi-supervised Node Classification Yi Luo Guangchun Luo Ke Qin Aiguo Chen 24 0 0 31 May 2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks Jintang Li Huizhe Zhang Ruofan Wu Zulun Zhu Baokun Wang Changhua Meng Zibin Zheng Liang Chen SSL 22 9 0 30 May 2023
Learning Strong Graph Neural Networks with Weak Information Yixin Liu Kaize Ding Jianling Wang V. Lee Huan Liu Shirui Pan 15 40 0 29 May 2023
Dink-Net: Neural Clustering on Large Graphs Yue Liu K. Liang Jun-Xiong Xia Sihang Zhou Xihong Yang Xinwang Liu Stan Z. Li GNN 30 52 0 28 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh X. Zhang Jing Chen BDL 29 6 0 26 May 2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks Xinyi Wu A. Ajorlou Zihui Wu Ali Jadbabaie 13 33 0 25 May 2023
IDEA: Invariant Defense for Graph Adversarial Robustness Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Bingbing Xu Xueqi Cheng AAML OOD 17 6 0 25 May 2023
Editable Graph Neural Network for Node Classifications Zirui Liu Zhimeng Jiang Shaochen Zhong Kaixiong Zhou Li Li Rui Chen Soo-Hyun Choi Xia Hu 13 6 0 24 May 2023