GraphSAINT: Graph Sampling Based Inductive Learning Method

10 July 2019

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

50 / 542 papers shown

Title
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction Yanbin Wei Xuehao Wang Zhan Zhuang Yang Chen Shuhao Chen Yulong Zhang Yu-Jie Zhang James T. Kwok 19 0 0 13 May 2025
Fused3S: Fast Sparse Attention on Tensor Cores Zitong Li Aparna Chandramowlishwaran GNN 35 0 0 12 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Xunkai Li Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 27 0 0 02 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 64 0 0 29 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Zichao Yue Chenhui Deng Zhiru Zhang AI4CE 25 0 0 17 Apr 2025
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex Azadeh Beiranvand Seyed Mehdi Vahidipour 32 0 0 16 Apr 2025
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks Or Feldman Krishna Sri Ipsit Mantri Carola-Bibiane Schönlieb Chaim Baskin Moshe Eliasof AI4TS 19 0 0 09 Apr 2025
Sparsity-Aware Communication for Distributed Graph Neural Network Training Ujjaini Mukhodopadhyay Alok Tripathy Oguz Selvitopi Katherine Yelick A. Buluç 39 1 0 07 Apr 2025
Scaling Graph Neural Networks for Particle Track Reconstruction Alok Tripathy A. Lazar X. Ju P. Calafiura Katherine Yelick A. Buluç 28 0 0 07 Apr 2025
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach Eshed Gal Moshe Eliasof Carola-Bibiane Schönlieb Eldad Haber Eran Treister GNN AI4CE 57 0 0 25 Mar 2025
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation Qiyu Kang Xuhao Li Kai Zhao Wenjun Cui Yanan Zhao Weihua Deng Wee Peng Tay 40 1 0 20 Mar 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 68 5 0 13 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective Y. Wang Wenqi Fan Suhang Wang Yao Ma 41 0 0 13 Mar 2025
Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach Qian Zeng Xin Lin Jingyi Gao Yang Yu 63 0 0 09 Mar 2025
Leap: Inductive Link Prediction via Learnable TopologyAugmentation Ahmed E. Samy Zekarias T. Kefato Sarunas Girdzijauskas 53 0 0 05 Mar 2025
WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks Jana Vatter Mykhaylo Zayats Marcos Martínez Galindo V. López R. Mayer Hans-Arno Jacobsen Hoang Thanh Lam GNN 43 0 0 27 Feb 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks R. Waleffe Devesh Sarda J. Mohoney Emmanouil-Vasileios Vlatakis-Gkaragkounis Theodoros Rekatsinas Shivaram Venkataraman GNN 47 0 0 25 Feb 2025
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators N. Gabriel N. Johnson George Em Karniadakis AI4CE 52 0 0 21 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 97 2 0 21 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 83 19 0 28 Jan 2025
FIT-GNN: Faster Inference Time for GNNs Using Coarsening Shubhajit Roy Hrriday Ruparel Kishan Ved Anirban Dasgupta GNN AI4CE 55 0 0 28 Jan 2025
Learning Graph Node Embeddings by Smooth Pair Sampling Konstantin Kutzkov 37 0 0 22 Jan 2025
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection X. Zhang Zhuangzhuang Ye GuoPing Zhao Jianing Wang Xiaohong Su 29 0 0 21 Jan 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective Yihong Chen Pushkar Mishra Luca Franceschi Pasquale Minervini Pontus Stenetorp Sebastian Riedel 59 19 0 17 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 31 0 0 08 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 84 1 0 03 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 60 1 0 03 Jan 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Z. Hao 46 7 0 31 Dec 2024
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs Tiehua Zhang Yuze Liu Zhishu Shen Xingjun Ma Xin Chen Xiaowei Huang Jun-Jian Yin 49 6 0 31 Dec 2024
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck Xingcheng Fu Yisen Gao Beining Yang Yuxuan Wu Haodong Qian Qingyun Sun Xianxian Li DD 27 1 0 23 Dec 2024
Asymmetric Learning for Spectral Graph Neural Networks Fangbing Liu Qing Wang 78 0 0 16 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven Dilshod Azizov Muhammad Arslan Manzoor Velibor Bojkovic Yingxu Wang Z. Wang ... Liang Li Siwei Liu Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 111 0 0 13 Dec 2024
Knowledge-aware Evolutionary Graph Neural Architecture Search Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Xu Liu S. M. I. Simon X. Yang 67 2 0 26 Nov 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye W. Zhang Hongzhi Yin 85 2 0 26 Nov 2024
Even Sparser Graph Transformers Hamed Shirzad Honghao Lin B. Venkatachalam A. Velingker David P. Woodruff Danica J. Sutherland GNN 91 3 0 25 Nov 2024
Federated Graph Learning with Graphless Clients Xingbo Fu Song Wang Yushun Dong Binchi Zhang Chen Chen Jundong Li FedML 23 2 0 13 Nov 2024
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings Ashkan Golgoon Ryan Franks Khashayar Filom Arjun Ravi Kannan 26 0 0 01 Nov 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs Aishwarya Sarkar Sayan Ghosh Nathan Tallent Ali Jannesari GNN 31 2 0 30 Oct 2024
InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphs Xinyue Feng Jinquan Hang Yuequn Zhang Haotian Wang Desheng Zhang Guang Wang 29 0 0 29 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 27 0 0 25 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 27 2 0 17 Oct 2024
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs Shengwei Ji Yujie Tian Fei Liu Xinlu Li Le Wu GNN 24 0 0 14 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning Hao Yan C. Li Zhigang Yu Jun Yin Ruochen Liu Peiyan Zhang Weihao Han Mingzheng Li Zhengxin Zeng 17 0 0 11 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao 16 0 0 08 Oct 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue Tong Zhao Neil Shah Xiaorui Liu GNN 29 1 0 07 Oct 2024
Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights Pranav Maneriker Aditya T. Vadlamani Anutam Srinivasan Yuntian He Ali Payani Srinivasan Parthasarathy 14 0 0 26 Sep 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 22 1 0 23 Sep 2024
Federated Graph Learning with Adaptive Importance-based Sampling Anran Li Yuanyuan Chen Chao Ren Wenhan Wang Ming Hu Tianlin Li Han Yu Qingyu Chen FedML 16 0 0 23 Sep 2024
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study Nikolai Merkel Pierre Toussing R. Mayer Hans-Arno Jacobsen GNN 20 1 0 17 Sep 2024