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
Trustworthiness-Driven Graph Convolutional Networks for Signed Network EmbeddingACM Transactions on Knowledge Discovery from Data (TKDD), 2023 Min-Jeong Kim Yeon-Chang Lee David Y. Kang Sang-Wook Kim 204 0 0 02 Sep 2023
Contrastive Representation Learning Based on Multiple Node-centered SubgraphsInternational Conference on Information and Knowledge Management (CIKM), 2023 Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 200 3 0 31 Aug 2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding Xiangshan Chen Yongxiang Liao Yun Xiong Yao Zhang Si-Yuan Zhang Jiawei Zhang Yiheng Sun 212 9 0 27 Aug 2023
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational GraphsNeural Information Processing Systems (NeurIPS), 2023 P. Phothilimthana Sami Abu-El-Haija Kaidi Cao Bahare Fatemi Mike Burrows Charith Mendis Bryan Perozzi GNN AI4TS 323 28 0 25 Aug 2023
Graph Neural BanditsKnowledge Discovery and Data Mining (KDD), 2023 Yunzhe Qi Yikun Ban Jingrui He 128 23 0 21 Aug 2023
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism Jingji Chen Zhuoming Chen Xuehai Qian GNN AI4CE 137 4 0 19 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang Kaidi Wang Yang You Xiaojiang Peng Yuxuan Liang Yang Wang 140 11 0 19 Aug 2023
Communication-Free Distributed GNN Training with Vertex Cut Kaidi Cao Rui Deng Shirley Wu E-Wen Huang Karthik Subbian J. Leskovec GNN 197 4 0 06 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPsInternational Conference on Learning Representations (ICLR), 2023 Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Tengjiao Wang Muhan Zhang J. Leskovec 214 29 0 04 Aug 2023
Finding Money Launderers Using Heterogeneous Graph Neural Networks F. Johannessen Martin Jullum 106 10 0 25 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon Cesare Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 294 301 0 07 Jul 2023
Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix Shaogao Lv Gang Wen Shiyu Liu Linsen Wei Ming Li 147 4 0 05 Jul 2023
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge DistillationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Kaituo Feng Yikun Miao Changsheng Li Ye Yuan Guoren Wang 313 2 0 02 Jul 2023
An Evolution Kernel Method for Graph Classification through Heat Diffusion Dynamics Xue Liu Dan Sun Wei Wei Zhiming Zheng 90 0 0 26 Jun 2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional NetworksInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2023 Saket Gurukar S. Venkatakrishnan B. Ravindran Srinivas Parthasarathy GNN 132 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 Luke Huan GNN AI4CE 181 32 0 24 Jun 2023
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs Loc Hoang Rita Brugarolas Brufau Ke Ding Bo Wu GNN 140 2 0 23 Jun 2023
Torsion Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Cong Shen Xiang Liu Jiawei Luo Kelin Xia 151 1 0 23 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Jiaqi Han Wen-bing Huang Yu Rong Qifeng Bai Gang Hua Junzhou Huang 158 9 0 21 Jun 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate CommunicationInternational Conference on Machine Learning (ICML), 2023 A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zinan Lin GNN 209 8 0 18 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node ClassificationKnowledge Discovery and Data Mining (KDD), 2023 Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 293 49 0 16 Jun 2023
Generated Graph DetectionInternational Conference on Machine Learning (ICML), 2023 Yi Ma Zhikun Zhang Ning Yu Xinlei He Michael Backes Yun Shen Yang Zhang 122 0 0 13 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on GraphsKnowledge Discovery and Data Mining (KDD), 2023 William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 213 8 0 12 Jun 2023
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional NetworksAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Wei Liu Xiyan Fu Michael Strube GNN 145 5 0 10 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property PredictionConference on Uncertainty in Artificial Intelligence (UAI), 2023 Kishalay Das Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly 100 20 0 09 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural NetworkLOG IN (LOG IN), 2023 Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 255 12 0 07 Jun 2023
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN TrainingConference on Machine Learning and Systems (MLSys), 2023 Borui Wan Juntao Zhao Chuan Wu GNN 126 21 0 02 Jun 2023
Graph Entropy Minimization for Semi-supervised Node Classification Yi Luo Guangchun Luo Ke Qin Aiguo Chen 129 1 0 31 May 2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Jintang Li Huizhe Zhang Ruofan Wu Zulun Zhu Baokun Wang Changhua Meng Zibin Zheng Liang Chen SSL 146 10 0 30 May 2023
Dink-Net: Neural Clustering on Large GraphsInternational Conference on Machine Learning (ICML), 2023 Yue Liu K. Liang Jun Xia Sihang Zhou Xihong Yang Xinwang Liu Stan Z. Li GNN 375 71 0 28 May 2023
GC-Flow: A Graph-Based Flow Network for Effective ClusteringInternational Conference on Machine Learning (ICML), 2023 Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 195 8 0 26 May 2023
A graphon-signal analysis of graph neural networksNeural Information Processing Systems (NeurIPS), 2023 Ron Levie 275 28 0 25 May 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 194 2 0 25 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023 Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 222 51 0 23 May 2023
Layer-wise Adaptive Step-Sizes for Stochastic First-Order Methods for Deep Learning Achraf Bahamou Shiqian Ma ODL 244 0 0 23 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Yu Xie Kai-Xin Gao Gaichao Li Kun He 157 4 0 22 May 2023
Self-Explainable Graph Neural Networks for Link Prediction Huaisheng Zhu Dongsheng Luo Xianfeng Tang Junjie Xu Hui Liu Suhang Wang 141 2 0 21 May 2023
Learning Large Graph Property Prediction via Graph Segment TrainingNeural Information Processing Systems (NeurIPS), 2023 Kaidi Cao P. Phothilimthana Sami Abu-El-Haija Dustin Zelle Yanqi Zhou Charith Mendis J. Leskovec Bryan Perozzi 260 10 0 21 May 2023
Graph Propagation Transformer for Graph Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Zhe Chen Hao Hao Tan Tao Wang Tianrun Shen Tong Lu Qiuying Peng Cheng Cheng Yue Qi 148 21 0 19 May 2023
Word Grounded Graph Convolutional Network Zhibin Lu Qianqian Xie Benyou Wang J. Nie OOD GNN 107 0 0 10 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and CachingConference on Machine Learning and Systems (MLSys), 2023 Tim Kaler A. Iliopoulos P. Murzynowski Tao B. Schardl C. E. Leiserson Jie Chen GNN 152 21 0 04 May 2023
Hierarchical Transformer for Scalable Graph LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 218 22 0 04 May 2023
Rethinking Graph Lottery Tickets: Graph Sparsity MattersInternational Conference on Learning Representations (ICLR), 2023 Bo Hui Jocelyn M Mora Adrian Dalca I. Aganj 259 26 0 03 May 2023
Multimodal Graph Transformer for Multimodal Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 Xuehai He Xin Eric Wang 266 10 0 30 Apr 2023
Learning Graph Neural Networks using Exact Compression Jeroen Bollen Jasper Steegmans Jan Van den Bussche Stijn Vansummeren GNN AI4CE 98 5 0 28 Apr 2023
Deep Graph ReprogrammingComputer Vision and Pattern Recognition (CVPR), 2023 Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 209 42 0 28 Apr 2023
Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach X. Peng Zhenkun Zhou Chong Zhang Ke Xu 154 1 0 22 Apr 2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of OneIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Hongyuan Zhang Yanan Zhu Xuelong Li 160 32 0 20 Apr 2023
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series ClassificationInformation Sciences (Inf. Sci.), 2023 Huaiyuan Liu Xianzhang Liu Donghua Yang Zhiyu Liang Hongzhi Wang Yong Cui Jun Gu AI4TS 151 67 0 11 Apr 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph LearnerThe Web Conference (WWW), 2023 Zhenyu Hou Yufei He Yukuo Cen Xiao Liu Yuxiao Dong Evgeny Kharlamov Jie Tang SSL 142 150 0 10 Apr 2023