Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

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Title
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation Nan Wu Huake He Yuan Xie Pan Li Cong Hao GNN 30 3 0 13 Sep 2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 47 112 0 12 Sep 2021
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation Junwei Zhang Min Gao Junliang Yu Lei Guo Jundong Li Hongzhi Yin 27 125 0 09 Sep 2021
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation Haoran Yang Hongxu Chen Lin Li Philip S. Yu Guandong Xu 16 42 0 07 Sep 2021
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning Marinos Poiitis Pavlos Sermpezis Athena Vakali 31 0 0 06 Sep 2021
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification Maximilian Stubbemann Gerd Stumme 26 3 0 03 Sep 2021
Sparsifying the Update Step in Graph Neural Networks J. Lutzeyer Changmin Wu Michalis Vazirgiannis 29 4 0 02 Sep 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 29 19 0 30 Aug 2021
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction Fuchen Gao Zhanquan Wang Zhenguang Liu AI4TS GNN 35 5 0 29 Aug 2021
Tree Decomposed Graph Neural Network Yu-Chiang Frank Wang Tyler Derr 24 68 0 25 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 42 42 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 32 63 0 24 Aug 2021
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification Myriam Bontonou Nicolas Farrugia Vincent Gripon CML 25 0 0 23 Aug 2021
Jointly Learnable Data Augmentations for Self-Supervised GNNs Zekarias T. Kefato Sarunas Girdzijauskas Hannes Stärk SSL 25 4 0 23 Aug 2021
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy Chitrank Gupta Yash Jain A. De Soumen Chakrabarti AI4CE 23 4 0 23 Aug 2021
Graph Attention MLP with Reliable Label Utilization Wentao Zhang Ziqi Yin Zeang Sheng Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN 29 3 0 23 Aug 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 23 34 0 21 Aug 2021
Predicting Basin Stability of Power Grids using Graph Neural Networks Christian Nauck M. Lindner Konstantin Schurholt Haoming Zhang P. Schultz Jürgen Kurths I. Isenhardt Frank Hellmann 21 22 0 18 Aug 2021
Variational Graph Normalized Auto-Encoders S. Ahn Myoung-Ho Kim 30 72 0 18 Aug 2021
Causal Incremental Graph Convolution for Recommender System Retraining Sihao Ding Fuli Feng Xiangnan He Yong Liao Jun Shi Yongdong Zhang CML CLL BDL GNN 32 36 0 16 Aug 2021
Progressive Representative Labeling for Deep Semi-Supervised Learning Xiaopeng Yan Riquan Chen Xue Jiang Jingkang Yang Huabin Zheng Wayne Zhang SSL 28 4 0 13 Aug 2021
Self-supervised Consensus Representation Learning for Attributed Graph Changshu Liu Liangjiang Wen Zhao Kang Guangchun Luo Ling Tian SSL 48 50 0 10 Aug 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering Jeongwhan Choi Jinsung Jeon Noseong Park 32 30 0 08 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 35 11 0 03 Aug 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 30 106 0 02 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 23 31 0 02 Aug 2021
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization Wentao Zhang Zhi-Xin Yang Yexin Wang Yu Shen Yang Li Liang Wang Bin Cui 14 50 0 31 Jul 2021
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks Vijay Lingam Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 39 0 0 28 Jul 2021
Local2Global: Scaling global representation learning on graphs via local training Lucas G. S. Jeub Giovanni Colavizza Xiaowen Dong Marya Bazzi Mihai Cucuringu 26 2 0 26 Jul 2021
ROD: Reception-aware Online Distillation for Sparse Graphs Wentao Zhang Yuezihan Jiang Yang Li Zeang Sheng Yu Shen Xupeng Miao Liang Wang Zhi-Xin Yang Bin Cui 24 24 0 25 Jul 2021
Graph Convolutional Network with Generalized Factorized Bilinear Aggregation Hao Zhu Piotr Koniusz 14 1 0 24 Jul 2021
Structack: Structure-based Adversarial Attacks on Graph Neural Networks Hussain Hussain Tomislav Duricic Elisabeth Lex D. Helic M. Strohmaier Roman Kern AAML GNN 19 12 0 23 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 53 18 0 21 Jul 2021
A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction Bowen Hu Baiying Lei Yanyan Shen Yong Liu Shuqiang Wang 3DV 3DPC MedIm 16 12 0 21 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 27 25 0 20 Jul 2021
A Graph Data Augmentation Strategy with Entropy Preservation Xue Liu Dan Sun Wei Wei AAML 19 1 0 13 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN 24 31 0 10 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Xia Hu GNN AI4CE 38 114 0 06 Jul 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 92 108 0 05 Jul 2021
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective Binghui Wang Jiayi Guo Ang Li Yiran Chen H. Li SSL 25 36 0 03 Jul 2021
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks Amirhossein Nouranizadeh Mohammadjavad Matinkia Mohammad Rahmati Reza Safabakhsh 27 20 0 03 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 33 108 0 01 Jul 2021
Resilient UAV Swarm Communications with Graph Convolutional Neural Network Zhiyu Mou Fei Gao Jun Liu Qi-hui Wu 19 27 0 30 Jun 2021
Edge Proposal Sets for Link Prediction Abhay Singh Qian Huang Sijia Huang Omkar Bhalerao Horace He Ser-Nam Lim Austin R. Benson 11 16 0 30 Jun 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 23 49 0 30 Jun 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 41 275 0 29 Jun 2021
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 24 80 0 29 Jun 2021
Federated Graph Classification over Non-IID Graphs Han Xie Jing Ma Li Xiong Carl Yang FedML 14 153 0 25 Jun 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 49 129 0 24 Jun 2021
Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs Vijay Lingam Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 19 6 0 24 Jun 2021