GraphSAINT: Graph Sampling Based Inductive Learning Method

10 July 2019

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

50 / 542 papers shown

Title
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 32 7 0 12 Jan 2023
Training Differentially Private Graph Neural Networks with Random Walk Sampling Morgane Ayle Jan Schuchardt Lukas Gosch Daniel Zügner Stephan Günnemann FedML 21 6 0 02 Jan 2023
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua Xiao-Wen Chang Doina Precup GNN 19 33 0 21 Dec 2022
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks Xing Su Jian Yang Jia Wu Yuchen Zhang GNN 19 18 0 21 Dec 2022
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 32 13 0 18 Dec 2022
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 19 51 0 18 Dec 2022
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation Nicolas Nytko Ali Taghibakhshi Tareq Uz Zaman S. MacLachlan Luke N. Olson Matthew West 10 7 0 10 Dec 2022
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs Lilas Alrahis J. Knechtel Ozgur Sinanoglu GNN AI4CE 46 22 0 29 Nov 2022
Distribution Free Prediction Sets for Node Classification J. Clarkson AI4CE 40 24 0 26 Nov 2022
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry Hatem Helal J. Firoz Jenna A. Bilbrey M. M. Krell Tom Murray Ang Li S. Xantheas Sutanay Choudhury GNN 43 5 0 25 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 34 8 0 21 Nov 2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models Yi Luo Guiduo Duan Guangchun Luo Aiguo Chen 23 1 0 19 Nov 2022
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network Heng Chang Bingbing Xu Qi Cao Yige Yuan Huawei Shen 21 0 0 16 Nov 2022
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling Md. Vasimuddin Ramanarayan Mohanty Sanchit Misra Sasikanth Avancha GNN 13 1 0 11 Nov 2022
A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs Claudia Vanea Jonathan Campbell Omri Dodi L. Salumäe K. Meir ... H. Hochner T. Laisk L. Ernst C. Lindgren C. Nellåker 19 3 0 11 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks Haiyang Lin Yurui Lai Xiaochun Ye Xiaochun Ye Shirui Pan Wenguang Chen Yuan Xie GNN 25 24 0 10 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection Yixin Liu Kaize Ding Huan Liu Shirui Pan 24 53 0 08 Nov 2022
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass Xin Huang Jongryool Kim Brad Rees Chul-Ho Lee GNN 21 4 0 06 Nov 2022
Efficient Graph Neural Network Inference at Large Scale Xin-pu Gao Wentao Zhang Yingxia Shao Quoc Viet Hung Nguyen Bin Cui Hongzhi Yin AI4CE GNN 49 9 0 01 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Bin Cui Lei Chen GNN AI4CE 11 56 0 01 Nov 2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks Tiehua Zhang Yuze Liu Yaohan Yao Youhua Xia Xin Chen Xiaowei Huang Jiongdao Jin 26 2 0 31 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 34 0 0 26 Oct 2022
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer Ziwei Fan Zhiwei Liu Chen Wang Peijie Huang Hao Peng Philip S. Yu 17 7 0 24 Oct 2022
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs M. F. Balin Ümit V. Çatalyürek 19 15 0 24 Oct 2022
Binary Graph Convolutional Network with Capacity Exploration Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang GNN 30 5 0 24 Oct 2022
Efficient Automatic Machine Learning via Design Graphs Shirley Wu Jiaxuan You J. Leskovec Rex Ying GNN 19 1 0 21 Oct 2022
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 42 22 0 21 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 32 14 0 19 Oct 2022
FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks S. Rizvi Nazreen Pallikkavaliyaveetil David Zhang Zhuoyang Lyu Nhi Nguyen ... Amin Karbasi Rex Ying Maria Brbić Rahul M. Dhodapkar David van Dijk GNN AI4CE 21 1 0 17 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning Tiantian He Haicang Zhou Yew-Soon Ong Gao Cong GNN 72 4 0 14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 41 57 0 14 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh V. Chawla Neil Shah Tong Zhao 21 41 0 11 Oct 2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju Tong Zhao Qianlong Wen Wenhao Yu Neil Shah Yanfang Ye Chuxu Zhang SSL 21 34 0 05 Oct 2022
Federated Graph-based Networks with Shared Embedding Tianyi Yu Pei-Ci Lai Fei Teng FedML 29 3 0 03 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 32 48 0 02 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 55 36 0 30 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 47 9 0 20 Sep 2022
Sparse Vicious Attacks on Graph Neural Networks Giovanni Trappolini Valentino Maiorca Silvio Severino Emanuele Rodolà Fabrizio Silvestri Gabriele Tolomei AAML 30 8 0 20 Sep 2022
Revisiting Embeddings for Graph Neural Networks S. Purchase A. Zhao Robert D. Mullins 8 3 0 19 Sep 2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang 27 27 0 17 Sep 2022
Scalable Spatiotemporal Graph Neural Networks Andrea Cini Ivan Marisca F. Bianchi Cesare Alippi AI4TS AI4CE 34 49 0 14 Sep 2022
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond Oleg Platonov Denis Kuznedelev Artem Babenko Liudmila Prokhorenkova 56 37 0 13 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
Neighborhood-aware Scalable Temporal Network Representation Learning Yu Luo Pan Li GNN AI4TS 29 47 0 02 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 18 1 0 02 Sep 2022
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs Dongkwan Kim Jiho Jin Jaimeen Ahn Alice H. Oh 37 3 0 01 Sep 2022
AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks Tim Bücher Lilas Alrahis Guilherme Paim S. Bampi Ozgur Sinanoglu H. Amrouch 20 14 0 23 Aug 2022
Embracing Graph Neural Networks for Hardware Security (Invited Paper) Lilas Alrahis Satwik Patnaik Muhammad Shafique Ozgur Sinanoglu 20 16 0 17 Aug 2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang GNN 14 18 0 15 Aug 2022