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
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu-Chiang Frank Wang Siegfried Mercelis Tyler Derr 21 22 0 22 Oct 2021
ifMixup: Interpolating Graph Pair to Regularize Graph Classification Hongyu Guo Yongyi Mao 32 9 0 18 Oct 2021
DPGNN: Dual-Perception Graph Neural Network for Representation Learning Li Zhou Wenyu Chen DingYi Zeng Shaohuan Cheng Wanlong Liu Malu Zhang Hong Qu 35 8 0 15 Oct 2021
Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang Jiarui Jin Weinan Zhang Yongyi Yang Jiuhai Chen Quan Gan Yong Yu Zheng Zhang Zengfeng Huang David Wipf AAML 58 12 0 14 Oct 2021
SoGCN: Second-Order Graph Convolutional Networks Peihao Wang Yuehao Wang Hua Lin Jianbo Shi 37 3 0 14 Oct 2021
New Insights into Graph Convolutional Networks using Neural Tangent Kernels Mahalakshmi Sabanayagam P. Esser D. Ghoshdastidar 29 6 0 08 Oct 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen Yankai Lin Guangxiang Zhao Xuancheng Ren Peng Li Jie Zhou Xu Sun 21 88 0 08 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 24 34 0 03 Oct 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang Hongrui Liu Chuan Shi Cheng Yang UQCV 111 116 0 29 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 32 38 0 27 Sep 2021
Scalable deeper graph neural networks for high-performance materials property prediction Sadman Sadeed Omee Steph-Yves M. Louis Nihang Fu Lai Wei Sourin Dey Rongzhi Dong Qinyang Li Jianjun Hu 75 73 0 25 Sep 2021
Untrained Graph Neural Networks for Denoising Samuel Rey Santiago Segarra Reinhard Heckel A. Marques 37 28 0 24 Sep 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 48 34 0 23 Sep 2021
Graph Neural Netwrok with Interaction Pattern for Group Recommendation Bo Wang Yuheng Lu 8 1 0 21 Sep 2021
Instance-wise Graph-based Framework for Multivariate Time Series Forecasting Wentao Xu Weiqing Liu Jiang Bian Jian Yin Tie-Yan Liu AI4TS 33 7 0 14 Sep 2021
Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos Daizong Liu Xiaoye Qu Jianfeng Dong Pan Zhou 27 54 0 14 Sep 2021
Predicting the outcome of team movements -- Player time series analysis using fuzzy and deep methods for representation learning Omid Shokrollahi Bahman Rohani A. Nobakhti AI4TS 19 2 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
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning Liwei Che Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 27 23 0 12 Sep 2021
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph Nuttapong Chairatanakul Noppayut Sriwatanasakdi Nontawat Charoenphakdee Xin Liu T. Murata 36 4 0 09 Sep 2021
MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art Jianjun Hu Stanislav Stefanov Yuqi Song Sadman Sadeed Omee Steph-Yves M. Louis Edirisuriya M Dilanga Siriwardane Yong Zhao 26 33 0 09 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 50 91 0 08 Sep 2021
Multiscale Laplacian Learning Ekaterina Merkurjev D. Nguyen Guo-Wei Wei 48 4 0 08 Sep 2021
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation Yankai Chen Yaming Yang Yujing Wang Jing Bai Xiangchen Song Irwin King 42 56 0 05 Sep 2021
Training Graph Neural Networks by Graphon Estimation Ziqing Hu Yihao Fang Lizhen Lin 21 6 0 04 Sep 2021
Node Feature Kernels Increase Graph Convolutional Network Robustness M. Seddik Changmin Wu J. Lutzeyer Michalis Vazirgiannis AAML 34 8 0 04 Sep 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 16 168 0 02 Sep 2021
Multiplex Graph Neural Network for Extractive Text Summarization Baoyu Jing Zeyu You Tao Yang Wei Fan Yangqiu Song 23 43 0 29 Aug 2021
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting Ling-Hao Chen Jiahui Xu Binqing Wu Yuntao Qian Zhenhong Du Yansheng Li Jianlong Huang AI4TS 16 38 0 27 Aug 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 36 84 0 26 Aug 2021
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN Yu Wang Zhiwei Liu Ziwei Fan Lichao Sun Philip S. Yu 27 47 0 26 Aug 2021
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition Hangjie Yuan Dong Ni Mang Wang AI4CE 17 80 0 26 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 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
SiReN: Sign-Aware Recommendation Using Graph Neural Networks Changwon Seo Kyeong-Joong Jeong Sungsu Lim Won-Yong Shin 38 18 0 19 Aug 2021
How Powerful is Graph Convolution for Recommendation? Yifei Shen Yongji Wu Yao Zhang Caihua Shan Jun Zhang Khaled B. Letaief Dongsheng Li GNN 38 100 0 17 Aug 2021
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis Fan Wu Yunhui Long Ce Zhang Yue Liu AAML 27 95 0 14 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
Attention-driven Graph Clustering Network Zhihao Peng Hui Liu Yuheng Jia Junhui Hou GNN 38 102 0 12 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
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
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction Fang Zheng Le Wang Sanping Zhou Wei Tang Zhenxing Niu N. Zheng G. Hua AI4TS 26 34 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 Bin Cui 14 50 0 31 Jul 2021
Multi-Scale Feature and Metric Learning for Relation Extraction Mi Zhang T. Qian 42 0 0 28 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
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
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
A3GC-IP: Attention-Oriented Adjacency Adaptive Recurrent Graph Convolutions for Human Pose Estimation from Sparse Inertial Measurements Patrik Puchert Timo Ropinski 3DH 27 3 0 23 Jul 2021