Papers citing 'FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling'

Title
When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected Haotian Xu Yuning You Tengfei Ma 60 0 0 20 Nov 2025
FuseSampleAgg: Fused Neighbor Sampling and Aggregation for Mini-batch GNNs Aleksandar Stanković FedML 152 0 0 17 Nov 2025
VISAGNN: Versatile Staleness-Aware Efficient Training on Large-Scale Graphs Rui Xue GNN 157 0 0 16 Nov 2025
Image augmentation with invertible networks in interactive satellite image change detection Hichem Sahbi 113 0 0 21 Oct 2025
AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining Jahidul Arafat Sanjaya Poudel 119 1 0 15 Oct 2025
PruneGCRN: Minimizing and explaining spatio-temporal problems through node pruning Javier García-Sigüenza Mirco Nanni Faraón Llorens-Largo José F. Vicent 40 0 0 12 Oct 2025
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation Xiaofeng Cao Mingwei Xu Xin Yu Jiangchao Yao Wei Ye ... Minling Zhang Ivor Tsang Yew-Soon Ong James T. Kwok Heng Tao Shen 111 3 0 10 Oct 2025
Label-frugal satellite image change detection with generative virtual exemplar learning Hichem Sahbi 100 0 0 08 Oct 2025
LHGEL: Large Heterogeneous Graph Ensemble Learning using Batch View Aggregation Jiajun Shen Yufei Jin Yi He Xingquan Zhu 60 0 0 03 Oct 2025
Neighborhood Sampling Does Not Learn the Same Graph Neural Network Zehao Niu M. Anitescu Jie Chen GNN 104 0 0 26 Sep 2025
RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Arefin Niam T. Kosar M. S. Q. Z. Nine GNN 68 0 0 05 Sep 2025
Multi-View Graph Convolution Network for Internal Talent Recommendation Based on Enterprise Emails Soo Hyun Kim Jang-Hyun Kim 64 0 0 28 Aug 2025
A Note on Graphon-Signal Analysis of Graph Neural Networks Levi Rauchwerger Ron Levie 88 0 0 25 Aug 2025
On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks Junwei Su Chuan Wu 72 0 0 20 Aug 2025
Online Continual Graph Learning Giovanni Donghi Luca Pasa Daniele Zambon Cesare Alippi Nicoló Navarin CLL GNN 106 0 0 05 Aug 2025
Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks Molly Noel Gabriel Mancino-Ball Yangyang Xu GNN 117 0 0 01 Aug 2025
The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Jinfeng Xu Zheyu Chen Shuo Yang Jinze Li Edith C.H. Ngai GNN 136 5 0 24 Jul 2025
PyG 2.0: Scalable Learning on Real World Graphs Matthias Fey Jinu Sunil Akihiro Nitta Rishi Puri Manan Shah ... Vid Kocijan Zecheng Zhang Xinwei He J. E. Lenssen J. Leskovec GNN AI4CE 200 19 0 22 Jul 2025
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Yaowen Hu Wenxuan Tu Yue Liu Xinhang Wan Junyi Yan Taichun Zhou Xinwang Liu 177 0 0 09 Jul 2025
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering Xurong Liang Tong Chen Wei Yuan Hongzhi Yin 126 0 0 25 May 2025
Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 PriorIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Tsai Hor Chan Dora Yan Zhang Guosheng Yin Lequan Yu UQCV BDL 129 0 0 23 May 2025
Nonparametric Teaching for Graph Property Learners Chen Zhang Weixin Bu Zhaochun Ren Ziyue Liu Yik-Chung Wu Ngai Wong 327 2 0 20 May 2025
Plexus: Taming Billion-edge Graphs with 3D Parallel Full-graph GNN Training Aditya K. Ranjan Siddharth Singh Cunyang Wei A. Bhatele GNN 497 0 0 07 May 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching Vignesh Balaji Christos Kozyrakis Gal Chechik Haggai Maron GNN 187 2 0 25 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 232 0 0 25 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Zichao Yue Chenhui Deng Zhiru Zhang AI4CE 150 0 0 17 Apr 2025
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation Aoran Liu Kun Hu Clinton Mo Xuefei Liu Zhiyong Wang 3DH AI4CE 173 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 153 0 0 09 Apr 2025
Sparsity-Aware Communication for Distributed Graph Neural Network TrainingInternational Conference on Parallel Processing (ICPP), 2024 Ujjaini Mukhodopadhyay Alok Tripathy Oguz Selvitopi Katherine Yelick A. Buluç 353 5 0 07 Apr 2025
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach Eshed Gal Moshe Eliasof Carola-Bibiane Schönlieb Eldad Haber E. Haber Eran Treister GNN AI4CE 410 2 0 25 Mar 2025
Causal invariant geographic network representations with feature and structural distribution shiftsFuture generations computer systems (FGCS), 2025 Yuhan Wang Silu He Qinyao Luo Hongyuan Yuan Ling Zhao Jiawei Zhu Haifeng Li OOD 275 8 0 25 Mar 2025
Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction Qia Hu Bo Jiao 253 0 0 02 Mar 2025
Channel-Attentive Graph Neural NetworksIndustrial Conference on Data Mining (IDM), 2024 Tuğrul Hasan Karabulut İnci M. Baytaş 357 0 0 01 Mar 2025
Accurate and Scalable Graph Neural Networks via Message InvarianceInternational Conference on Learning Representations (ICLR), 2025 Zhihao Shi Jie Wang Zhiwei Zhuang Xize Liang Bin Li Feng Wu 317 1 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 254 0 0 25 Feb 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat Tong Zhao Yozen Liu Matthew Kolodner Kyle Montemayor Elham Ghazizadeh ... Serim Park Peicheng Yu Jun Yu Shubham Vij Neil Shah GNN 294 5 0 20 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for RecommendationIndustrial Conference on Data Mining (IDM), 2022 Xiangjin Xie Yiran Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 183 4 0 12 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally Xiang Wang Muhan Zhang 407 1 0 04 Feb 2025
Graph Condensation: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 393 26 0 28 Jan 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear SystemsInternational Conference on Learning Representations (ICLR), 2024 Jie Chen AI4CE 441 10 0 28 Jan 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Xiang Wu Miao Hu Rong-Hua Li Kangfei Zhao Guoren Wang AI4TS AI4CE 302 0 0 27 Jan 2025
Principal Graph Encoder Embedding and Principal Community DetectionIEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025 Cencheng Shen Yuexiao Dong Carey E. Priebe Jonathan Larson Ha Trinh Youngser Park 333 4 0 24 Jan 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal ForecastingKnowledge Discovery and Data Mining (KDD), 2024 Hao Wu Haomin Wen Guibin Zhang Yutong Xia Kai Wang Yuxuan Liang Yu Zheng Kun Wang 358 5 0 17 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical ReportKnowledge Discovery and Data Mining (KDD), 2025 Haipeng Ding Zhewei Wei Yuhang Ye 230 2 0 08 Jan 2025
Optimizing Supply Chain Networks with the Power of Graph Neural Networks Ahmad Albarqawi Ying-Jung Chen AI4TS 134 3 0 07 Jan 2025
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network TrainingAAAI Conference on Artificial Intelligence (AAAI), 2024 Shuyin Xia Xinjun Ma Zhiyuan Liu Cheng Liu Sen Zhao G. Wang 222 5 0 18 Dec 2024
Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification Huachao Yan K. Guo Shiwei Song Yihai Dai Xiaoqiang Wei Xiaofen Xing Xiangmin Xu 197 2 0 17 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven Dilshod Azizov Muhammad Arslan Manzoor Velibor Bojkovic Yingxu Wang Liang Luo ... Liang Li Houcheng Su Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 244 0 0 13 Dec 2024
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2024 Xinfeng Li Guibin Zhang Haoran Yang Dawei Cheng 247 0 0 10 Dec 2024
Graph Neural Networks on Graph Databases Dmytro Lopushanskyy Borun Shi GNN 210 1 0 18 Nov 2024