Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

22 January 2018

Xiao-Ming Wu

Papers citing "Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning"

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Title
Progressive Representative Labeling for Deep Semi-Supervised Learning Xiaopeng Yan Riquan Chen Xue Jiang Jingkang Yang Huabin Zheng Wayne Zhang SSL 61 4 0 13 Aug 2021
Attention-driven Graph Clustering Network Zhihao Peng Hui Liu Yuheng Jia Junhui Hou GNN 125 106 0 12 Aug 2021
Self-supervised Consensus Representation Learning for Attributed Graph Changshu Liu Liangjiang Wen Zhao Kang Guangchun Luo Ling Tian SSL 79 51 0 10 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 73 31 0 02 Aug 2021
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction Fang Zheng Le Wang Sanping Zhou Wei Tang Zhenxing Niu N. Zheng G. Hua AI4TS 93 35 0 31 Jul 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 Tengjiao Wang 93 50 0 31 Jul 2021
Multi-Scale Feature and Metric Learning for Relation Extraction Mi Zhang T. Qian 66 0 0 28 Jul 2021
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks Vijay Lingam Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 73 0 0 28 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 Tengjiao Wang 70 24 0 25 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 87 13 0 23 Jul 2021
A3GC-IP: Attention-Oriented Adjacency Adaptive Recurrent Graph Convolutions for Human Pose Estimation from Sparse Inertial Measurements Patrik Puchert Timo Ropinski 3DH 81 3 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 169 21 0 21 Jul 2021
Relational Graph Convolutional Networks: A Closer Look Thiviyan Thanapalasingam Lucas van Berkel Peter Bloem Paul T. Groth GNN 76 20 0 21 Jul 2021
Learning Attributed Graph Representations with Communicative Message Passing Transformer Jianwen Chen Shuangjia Zheng Ying Song Jiahua Rao Yuedong Yang 101 47 0 19 Jul 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 101 14 0 15 Jul 2021
A Graph Data Augmentation Strategy with Entropy Preservation Xue Liu Dan Sun Wei Wei AAML 38 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 71 31 0 10 Jul 2021
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks Amirhossein Nouranizadeh Mohammadjavad Matinkia Mohammad Rahmati Reza Safabakhsh 52 22 0 03 Jul 2021
Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction Sriram Pingali S. Yadav Pratik Dutta S. Saha 21 4 0 01 Jul 2021
Edge Representation Learning with Hypergraphs Jaehyeong Jo Jinheon Baek Seul Lee Dongki Kim Minki Kang Sung Ju Hwang 90 65 0 30 Jun 2021
CityNet: A Comprehensive Multi-Modal Urban Dataset for Advanced Research in Urban Computing Zhengfei Zheng Xu Geng Hai Yang 30 0 0 30 Jun 2021
Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification Wenming Tang 3DH AI4CE 34 20 0 30 Jun 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 70 50 0 30 Jun 2021
Dual GNNs: Graph Neural Network Learning with Limited Supervision Abdullah Alchihabi Yuhong Guo 29 1 0 29 Jun 2021
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 98 82 0 29 Jun 2021
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting Zheng Fang Qingqing Long Guojie Song Kunqing Xie AI4TS 73 485 0 24 Jun 2021
Weisfeiler and Lehman Go Cellular: CW Networks Cristian Bodnar Fabrizio Frasca N. Otter Yu Guang Wang Pietro Lio Guido Montúfar M. Bronstein GNN 139 238 0 23 Jun 2021
Learnt Sparsification for Interpretable Graph Neural Networks Mandeep Rathee Zijian Zhang Thorben Funke Megha Khosla Avishek Anand 80 3 0 23 Jun 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks Hengrui Zhang Qitian Wu Junchi Yan David Wipf Philip S. Yu SSL 104 223 0 23 Jun 2021
Exploring the Representational Power of Graph Autoencoder Maroun Haddad Mohamed Bouguessa 28 5 0 22 Jun 2021
Customizing Graph Neural Networks using Path Reweighting Jianpeng Chen Yujing Wang Ming Zeng Zongyi Xiang Bitan Hou Yu Tong Ole J. Mengshoel Yazhou Ren 74 2 0 21 Jun 2021
Message Passing in Graph Convolution Networks via Adaptive Filter Banks Xing Gao Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard GNN 73 6 0 18 Jun 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric Xing Xiaodan Liang 92 89 0 17 Jun 2021
Zero-shot Node Classification with Decomposed Graph Prototype Network Zheng Wang Jialong Wang Yuchen Guo Zhiguo Gong 69 37 0 15 Jun 2021
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond Jonathan Godwin Michael Schaarschmidt Alex Gaunt Alvaro Sanchez-Gonzalez Yulia Rubanova Petar Velivcković J. Kirkpatrick Peter W. Battaglia 107 60 0 15 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 103 243 0 14 Jun 2021
Node Classification Meets Link Prediction on Knowledge Graphs Ralph Abboud .Ismail .Ilkan Ceylan 43 3 0 14 Jun 2021
Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation Jeonghee Jo Bumju Kwak Byunghan Lee Sungroh Yoon 69 2 0 14 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 101 330 0 13 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 98 137 0 11 Jun 2021
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs Seongjun Yun Minbyul Jeong Sungdong Yoo Seunghun Lee Sean S. Yi Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 58 72 0 11 Jun 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 54 237 0 11 Jun 2021
Learnable Hypergraph Laplacian for Hypergraph Learning Jiying Zhang Yuzhao Chen Xiong Xiao Runiu Lu Shutao Xia 71 30 0 10 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 92 120 0 08 Jun 2021
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning Shuoran Jiang Qingcai Chen Xin Liu Baotian Hu Lisai Zhang 33 3 0 08 Jun 2021
Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition P. Antoniadis P. Filntisis Petros Maragos CVBM 65 37 0 07 Jun 2021
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs Jiaren Xiao Quanyu Dai Xiaochen Xie J. Lam Ka-Wai Kwok GNN 76 7 0 07 Jun 2021
On Local Aggregation in Heterophilic Graphs Hesham Mostafa Marcel Nassar Somdeb Majumdar 63 4 0 06 Jun 2021
Transient Chaos in BERT Katsuma Inoue Soh Ohara Yasuo Kuniyoshi Kohei Nakajima 67 3 0 06 Jun 2021
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping Zhangyang Gao S. Bhattacharya Leiming Zhang Rick S. Blum Alejandro Ribeiro Brian M. Sadler 105 25 0 05 Jun 2021