Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification Negar Heidari Alexandros Iosifidis GNN 29 14 0 27 Mar 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay Fan Zhou Chengtai Cao CLL 21 10 0 22 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs Jingxin Liu Chang Xu Chang Yin Weiqiang Wu You Song GNN 65 47 0 22 Mar 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection Xiaoya Li Yuxian Meng Mingxin Zhou Qinghong Han Fei Wu Jiwei Li 19 20 0 22 Mar 2020
Spectral Graph Attention Network with Fast Eigen-approximation Heng Chang Yu Rong Tingyang Xu Wenbing Huang Somayeh Sojoudi Junzhou Huang Wenwu Zhu GNN 52 32 0 16 Mar 2020
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations Xiaoming Liu Qirui Li Chao Shen Xi Peng Yadong Zhou X. Guan GNN SSL 26 0 0 13 Mar 2020
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks Fernando Gama Elvin Isufi G. Leus Alejandro Ribeiro GNN 28 150 0 08 Mar 2020
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition Ke Wang M. M. Li Hong Fu Jicong Fan Zhao Zhang Howard Leung 28 5 0 06 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature Interactions Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 31 11 0 05 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing Julian Busch Jiaxing Pi T. Seidl GNN 27 12 0 04 Mar 2020
Semi-supervised Anomaly Detection on Attributed Graphs Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 23 37 0 27 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 29 45 0 27 Feb 2020
Adaptive Graph Auto-Encoder for General Data Clustering Xuelong Li Hongyuan Zhang Rui Zhang GNN AI4CE 11 80 0 20 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs Han Yang Xiao Yan XINYAN DAI Yongqiang Chen James Cheng 13 36 0 18 Feb 2020
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version Abram Magner Mayank Baranwal Alfred Hero GNN 17 13 0 13 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,080 0 13 Feb 2020
Adversarial Robustness for Code Pavol Bielik Martin Vechev AAML 22 89 0 11 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction Felix L. Opolka Pietro Lió GNN 27 15 0 11 Feb 2020
Bilinear Graph Neural Network with Neighbor Interactions Hongmin Zhu Fuli Feng Xiangnan He Xiang Wang Yan Li Kai Zheng Yongdong Zhang 10 3 0 10 Feb 2020
Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks Ziqing Yang Shoudong Han Jun Zhao GNN 8 2 0 07 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 36 3,511 0 06 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 23 6 0 05 Feb 2020
Graph Neighborhood Attentive Pooling Zekarias T. Kefato Sarunas Girdzijauskas GNN 24 6 0 28 Jan 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Lei Chen Le Wu Richang Hong Kun Zhang Meng Wang GNN 33 493 0 28 Jan 2020
Efficient and Stable Graph Scattering Transforms via Pruning V. Ioannidis Siheng Chen G. Giannakis 28 11 0 27 Jan 2020
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification Yuqing Hu Vincent Gripon S. Pateux 20 28 0 27 Jan 2020
Simple and Effective Graph Autoencoders with One-Hop Linear Models Guillaume Salha-Galvan Romain Hennequin Michalis Vazirgiannis GNN 21 48 0 21 Jan 2020
Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction Lingbo Liu Jingwen Chen Hefeng Wu Jiajie Zhen Guanbin Li Liang Lin 21 9 0 14 Jan 2020
Graph Convolutional Networks: analysis, improvements and results I. Ullah M. Manzo M. Shah Michael G. Madden GNN 8 51 0 19 Dec 2019
Expanding Label Sets for Graph Convolutional Networks Mustafa Coşkun Burcu Bakir-Gungor Mehmet Koyutürk GNN 22 2 0 18 Dec 2019
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs Menghan Wang Kun Zhang Gulin Li Keping Yang Luo Si GNN 14 0 0 12 Dec 2019
Totally Deep Support Vector Machines H. Sahbi 14 2 0 12 Dec 2019
Classifying Diagrams and Their Parts using Graph Neural Networks: A Comparison of Crowd-Sourced and Expert Annotations Tuomo Hiippala 15 1 0 05 Dec 2019
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 27 150 0 02 Dec 2019
On Node Features for Graph Neural Networks Chi Thang Duong Thanh Dat Hoang Haikun Dang Quoc Viet Hung Nguyen Karl Aberer GNN 11 45 0 20 Nov 2019
Spectral Geometric Matrix Completion A. Boyarski S. Vedula A. Bronstein 19 3 0 17 Nov 2019
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 27 96 0 17 Nov 2019
On the choice of graph neural network architectures Clément Vignac Guillermo Ortiz-Jiménez P. Frossard GNN 22 10 0 13 Nov 2019
A Hierarchy of Graph Neural Networks Based on Learnable Local Features M. Li Meng Dong Jiawei Zhou Alexander M. Rush AI4CE GNN 33 7 0 13 Nov 2019
Graph Convolutional Networks Meet with High Dimensionality Reduction Mustafa Coşkun GNN BDL 11 3 0 07 Nov 2019
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction Fenyu Hu Yanqiao Zhu Shu Wu Weiran Huang Liang Wang Tieniu Tan GNN 19 47 0 05 Nov 2019
Certifiable Robustness to Graph Perturbations Aleksandar Bojchevski Stephan Günnemann AAML 22 123 0 31 Oct 2019
Fundamental Limits of Deep Graph Convolutional Networks Abram Magner Mayank Baranwal Alfred Hero GNN 22 7 0 28 Oct 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 32 629 0 28 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 50 686 0 28 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 22 80 0 25 Oct 2019
Decoupling feature propagation from the design of graph auto-encoders P. Scherer Helena Andrés-Terré Pietro Lió M. Jamnik BDL 6 1 0 18 Oct 2019
Active Learning for Graph Neural Networks via Node Feature Propagation Yuexin Wu Yichong Xu Aarti Singh Yiming Yang A. Dubrawski GNN AI4CE 46 63 0 16 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 32 5 0 15 Oct 2019
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition Xupeng Miao Nezihe Merve Gürel Wentao Zhang Zhichao Han Bo-wen Li ... Yang Zhao Shuai Zhang Yujing Wang Bin Cui Ce Zhang GNN 13 6 0 10 Oct 2019