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 / 694 papers shown

Title
CARL-G: Clustering-Accelerated Representation Learning on Graphs William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 31 7 0 12 Jun 2023
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks Wei Liu Xiyan Fu Michael Strube GNN 34 3 0 10 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property Prediction Kishalay Das Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly 20 12 0 09 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 37 7 0 07 Jun 2023
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training Borui Wan Juntao Zhao Chuan Wu GNN 14 15 0 02 Jun 2023
Graph Entropy Minimization for Semi-supervised Node Classification Yi Luo Guangchun Luo Ke Qin Aiguo Chen 38 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 32 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 38 54 0 28 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 48 7 0 26 May 2023
A graphon-signal analysis of graph neural networks Ron Levie 29 17 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 34 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 48 23 0 23 May 2023
Layer-wise Adaptive Step-Sizes for Stochastic First-Order Methods for Deep Learning Achraf Bahamou D. Goldfarb ODL 36 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 21 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 18 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 23 8 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 32 11 0 19 May 2023
Word Grounded Graph Convolutional Network Zhibin Lu Qianqian Xie Benyou Wang J. Nie OOD GNN 16 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 24 15 0 04 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 37 14 0 04 May 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters Bo Hui Jocelyn M Mora Adrian V. Dalca I. Aganj 42 22 0 03 May 2023
Multimodal Graph Transformer for Multimodal Question Answering Xuehai He Xin Eric Wang 36 7 0 30 Apr 2023
Learning Graph Neural Networks using Exact Compression Jeroen Bollen Jasper Steegmans Jan Van den Bussche Stijn Vansummeren GNN AI4CE 14 6 0 28 Apr 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 79 35 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 28 1 0 22 Apr 2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One Hongyuan Zhang Yanan Zhu Xuelong Li 27 9 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 38 28 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 32 105 0 10 Apr 2023
Inductive Graph Unlearning Cheng-Long Wang Mengdi Huai Di Wang MU 19 24 0 06 Apr 2023
Graph Mining for Cybersecurity: A Survey Bo Yan Cheng Yang Chuan Shi Yong Fang Qi Li Yanfang Ye Junping Du 42 12 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 16 6 0 28 Mar 2023
Knowledge Enhanced Graph Neural Networks for Graph Completion Luisa Werner Nabil Layaïda P. Genevès Sarah Chlyah 19 3 0 27 Mar 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 27 20 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 31 3 0 25 Mar 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 33 5 0 24 Mar 2023
GNN-Ensemble: Towards Random Decision Graph Neural Networks Wenqi Wei Mu Qiao D. Jadav AAML AI4CE 33 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 25 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 29 3 0 16 Mar 2023
NESS: Node Embeddings from Static SubGraphs Talip Uçar 28 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 66 8 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 37 5 0 02 Mar 2023
Steering Graph Neural Networks with Pinning Control Acong Zhang P. Li Guanrong Chen LLMSV 32 0 0 02 Mar 2023
Asymmetric Learning for Graph Neural Network based Link Prediction Kai-Lang Yao Wusuo Li 29 1 0 01 Mar 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 33 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 29 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 27 5 0 17 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 40 12 0 13 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 19 2 0 09 Feb 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang Hao Wu Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 27 16 0 06 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 31 21 0 03 Feb 2023