FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

30 January 2018

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

50 / 716 papers shown

Title
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip NetworksSymposium on Field Programmable Gate Arrays (FPGA), 2024 Qizhe Wu Letian Zhao Yuchen Gui Huawen Liang Xiaotian Wang GNN 191 1 0 06 Nov 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 379 0 0 25 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 132 0 0 21 Oct 2024
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs Shengwei Ji Yujie Tian Fei Liu Xinlu Li Le Wu GNN 178 2 0 14 Oct 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue Tong Zhao Neil Shah Xiaorui Liu GNN 148 2 0 07 Oct 2024
SCNode: Spatial and Contextual Coordinates for Graph Representation Learning Md Joshem Uddin Astrit Tola Varin Sikand Cüneyt Gürcan Akçora Baris Coskunuzer 193 1 0 03 Oct 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large ScaleInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024 Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 167 3 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 107 1 0 23 Sep 2024
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental StudyProceedings of the VLDB Endowment (PVLDB), 2024 Nikolai Merkel Pierre Toussing R. Mayer Hans-Arno Jacobsen GNN 241 5 0 17 Sep 2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration Weijian Chen Shuibing He Haoyang Qu Xuechen Zhang GNN 284 1 0 01 Sep 2024
The Transferability of Downsamped Sparse Graph Convolutional Networks Qinji Shu Hang Sheng Feng Ji Hui Feng Bo Hu BDL 180 0 0 30 Aug 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token EmbeddingsNeural Information Processing Systems (NeurIPS), 2024 Duo Wang Yuan Zuo Fengzhi Li Junjie Wu 142 47 0 25 Aug 2024
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks Amirhossein Nouranizadeh Fatemeh Tabatabaei Far Mohammad Rahmati AI4TS 241 3 0 22 Aug 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence MaximizationSDM (SDM), 2024 Xiaodong Yang Xiaoting Li Huiyuan Chen Yiwei Cai AAML 81 0 0 20 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error BarrierInternational Conference on Learning Representations (ICLR), 2024 Lu Yi Zhewei Wei MU 502 0 0 17 Aug 2024
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction Shuai Zhang Zite Jiang Haihang You GNN 225 3 0 01 Aug 2024
Non-convolutional Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2024 Yuanqing Wang N. Scherer-Negenborn GNN 323 11 0 31 Jul 2024
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training Fali Wang Tianxiang Zhao Junjie Xu Suhang Wang 168 3 0 25 Jul 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training Mengdie Zhang Jie Sun Qi Hu Yang Liu Zeke Wang Yonggang Wen Tianwei Zhang GNN 195 6 0 19 Jul 2024
A Theoretical Formulation of Many-body Message Passing Neural Networks Jiatong Han 93 1 0 16 Jul 2024
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-training Yufei He Zhenyu Hou Yukuo Cen Feng He Feng He Xu Cheng Jie Tang Bryan Hooi AI4CE 405 8 0 04 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 351 5 0 03 Jul 2024
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations Yuntao Shou Wei Ai JiaYi Du Tao Meng Haiyan Liu Nan Yin 334 25 0 27 Jun 2024
GraphSnapShot: Caching Local Structure for Fast Graph Learning Dong Liu R. Waleffe Meng Jiang Shivaram Venkataraman GNN 3DH 215 7 0 25 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 177 27 0 21 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic GraphsKnowledge Discovery and Data Mining (KDD), 2024 Kun Wang Guibin Zhang Xinnan Zhang Cunchun Li Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 228 13 0 18 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 229 3 0 17 Jun 2024
Learning Physical Simulation with Message Passing Transformer Zeyi Xu Yifei Li AI4CE 187 2 0 10 Jun 2024
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch Saurabh Bajaj Hui Guan Marco Serafini GNN 257 8 0 01 Jun 2024
Learning on Large Graphs using Intersecting Communities Ben Finkelshtein .Ismail .Ilkan Ceylan Michael M. Bronstein Ron Levie GNN 196 7 0 31 May 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Zhengwu Zhang Yuntong Hu Bo Pan Chen Ling Bo Pan 259 5 0 27 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks Siddhartha Shankar Das S. Ferdous M. Halappanavar Edoardo Serra A. Pothen 193 5 0 24 May 2024
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks Shuai Wang David W. Zhang Jia-Hong Huang Stevan Rudinac Monika Kackovic Nachoem Wijnberg Marcel Worring 215 1 0 22 May 2024
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks QingGuo Qi Hongyang Chen Minhao Cheng Han Liu 174 0 0 11 May 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training Renjie Liu Yichuan Wang Xiao Yan Zhenkun Cai Minjie Wang Haitian Jiang Bo Tang Jinyang Li GNN 300 8 0 08 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Miao Hu Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Tengjiao Wang GNN 274 0 0 07 May 2024
Training-free Graph Neural Networks and the Power of Labels as Features Ryoma Sato 248 5 0 30 Apr 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs Minjie Wang Quan Gan David Wipf Zhenkun Cai Ning Li ... Chuan Lei Mu-Nan Zhang Weinan Zhang Christos Faloutsos Zheng Zhang 181 5 0 28 Apr 2024
GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration Tong Qiao Jianlei Yang Yingjie Qi Ao Zhou Chen Bai Bei Yu Weisheng Zhao Chunming Hu 175 2 0 15 Apr 2024
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation Zhiwei Hu Víctor Gutiérrez-Basulto Zhiliang Xiang Ru Li Jeff Z. Pan 284 2 0 15 Apr 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing Adarsh Jamadandi Celia Rubio-Madrigal R. Burkholz 272 14 0 06 Apr 2024
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks Yongyi Yang Jiaming Yang Wei Hu Michal Dereziñski 164 0 0 26 Mar 2024
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks Ningyi Liao Zihao Yu Ruixiao Zeng Siqiang Luo GNN 172 0 0 20 Mar 2024
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum LearningKnowledge Discovery and Data Mining (KDD), 2023 Daixin Wang Qing Cui Yeyu Zhao Kai Huang Yulin Kang Jun Zhou AI4TS 181 20 0 11 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and AttackIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Xin Liu Yuxiang Zhang Meng Wu Yurui Lai Kun He Wei Yan Shirui Pan Xiaochun Ye Xiaochun Ye AAML 218 4 0 10 Mar 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient ModelingIEEE International Conference on Data Engineering (ICDE), 2024 Hussein Abdallah Waleed Afandi Panos Kalnis Essam Mansour 142 4 0 09 Mar 2024
Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks Yiwei Zou Ting Li Zong-fu Luo GNN 143 1 0 08 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD ChallengesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Nan Yin Senzhang Wang Xinwang Liu Philip S. Yu Ming Zhang AI4CE 293 76 0 07 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 166 21 0 06 Mar 2024
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN SSL 266 11 0 06 Mar 2024