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 / 696 papers shown

Title
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 97 28 0 16 Jun 2023
Generated Graph Detection Yi Ma Zhikun Zhang Ning Yu Xinlei He Michael Backes Yun Shen Yang Zhang 45 0 0 13 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 91 7 0 12 Jun 2023
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks Wei Liu Xiyan Fu Michael Strube GNN 60 3 0 10 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property Prediction Kishalay Das Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly 55 13 0 09 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 104 8 0 07 Jun 2023
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training Borui Wan Juntao Zhao Chuan Wu GNN 56 15 0 02 Jun 2023
Graph Entropy Minimization for Semi-supervised Node Classification Yi Luo Guangchun Luo Ke Qin Aiguo Chen 68 0 0 31 May 2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks Jintang Li Huizhe Zhang Ruofan Wu Zulun Zhu Baokun Wang Changhua Meng Zibin Zheng Liang Chen SSL 60 9 0 30 May 2023
Dink-Net: Neural Clustering on Large Graphs Yue Liu K. Liang Jun Xia Sihang Zhou Xihong Yang Xinwang Liu Stan Z. Li GNN 156 55 0 28 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 82 7 0 26 May 2023
A graphon-signal analysis of graph neural networks Ron Levie 96 18 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 100 1 0 25 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 96 29 0 23 May 2023
Layer-wise Adaptive Step-Sizes for Stochastic First-Order Methods for Deep Learning Achraf Bahamou Shiqian Ma ODL 101 0 0 23 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 94 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 64 1 0 21 May 2023
Learning Large Graph Property Prediction via Graph Segment Training Kaidi Cao P. Phothilimthana Sami Abu-El-Haija Dustin Zelle Yanqi Zhou Charith Mendis J. Leskovec Bryan Perozzi 94 9 0 21 May 2023
Graph Propagation Transformer for Graph Representation Learning Zhe Chen Hao Hao Tan Tao Wang Tianrun Shen Tong Lu Qiuying Peng Cheng Cheng Yue Qi 72 13 0 19 May 2023
Word Grounded Graph Convolutional Network Zhibin Lu Qianqian Xie Benyou Wang J. Nie OOD GNN 40 0 0 10 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching Tim Kaler A. Iliopoulos P. Murzynowski Tao B. Schardl C. E. Leiserson Jie Chen GNN 82 16 0 04 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 120 16 0 04 May 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters Bo Hui Jocelyn M Mora Adrian Dalca I. Aganj 110 24 0 03 May 2023
Multimodal Graph Transformer for Multimodal Question Answering Xuehai He Xin Eric Wang 88 9 0 30 Apr 2023
Learning Graph Neural Networks using Exact Compression Jeroen Bollen Jasper Steegmans Jan Van den Bussche Stijn Vansummeren GNN AI4CE 62 4 0 28 Apr 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 142 38 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 61 1 0 22 Apr 2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One Hongyuan Zhang Yanan Zhu Xuelong Li 69 11 0 20 Apr 2023
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification Huaiyuan Liu Xianzhang Liu Donghua Yang Zhiyu Liang Hongzhi Wang Yong Cui Jun Gu AI4TS 88 30 0 11 Apr 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner Zhenyu Hou Yufei He Yukuo Cen Xiao Liu Yuxiao Dong Evgeny Kharlamov Jie Tang SSL 68 116 0 10 Apr 2023
Inductive Graph Unlearning Cheng-Long Wang Mengdi Huai Di Wang MU 57 29 0 06 Apr 2023
Graph Mining for Cybersecurity: A Survey Bo Yan Cheng Yang Chuan Shi Yong Fang Qi Li Yanfang Ye Junping Du 92 15 0 02 Apr 2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations Edoardo DÁmico Khalil Muhammad E. Tragos Barry Smyth N. Hurley A. Lawlor GNN 86 7 0 28 Mar 2023
Knowledge Enhanced Graph Neural Networks for Graph Completion Luisa Werner Nabil Layaïda P. Genevès Sarah Chlyah 89 3 0 27 Mar 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 61 21 0 26 Mar 2023
Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN) D. Jana Sven Malama S. Narasimhan E. Taciroğlu GNN 36 3 0 25 Mar 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 76 5 0 24 Mar 2023
GNN-Ensemble: Towards Random Decision Graph Neural Networks Wenqi Wei Mu Qiao D. Jadav AAML AI4CE 67 3 0 20 Mar 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training Jie Wang Zhihao Shi Xize Liang Shuiwang Ji Bin Li Feng Wu 57 0 0 17 Mar 2023
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data Xinwei Zhang Min-Fong Hong Jie Chen FedML 77 3 0 16 Mar 2023
NESS: Node Embeddings from Static SubGraphs Talip Uçar 59 1 0 15 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 176 9 0 06 Mar 2023
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication Mengdie Zhang Qi Hu Peng Sun Yonggang Wen Tianwei Zhang GNN 67 6 0 02 Mar 2023
Steering Graph Neural Networks with Pinning Control Acong Zhang P. Li Guanrong Chen LLMSV 62 0 0 02 Mar 2023
Asymmetric Learning for Graph Neural Network based Link Prediction Kai-Lang Yao Wusuo Li 81 2 0 01 Mar 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 65 8 0 27 Feb 2023
Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering Md. Rezaul Karim Felix Hermsen S. Chala Paola de Perthuis Avikarsha Mandal 67 4 0 23 Feb 2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks Acong Zhang Jincheng Huang Ping Li Kaizheng Zhang GNN 74 4 0 17 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Hongzhi Zhang Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 115 13 0 13 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 157 2 0 09 Feb 2023