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Graph Random Neural Network for Semi-Supervised Learning on Graphs

22 May 2020

Yuxiao Dong

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Papers citing "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

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Title
Tired of Over-smoothing? Stress Graph Drawing Is All You Need! Xue Li Yuanzhi Cheng 102 1 0 19 Nov 2022
Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples Luis Carlos Rivera Monroy Leonhard Rist Martin Eberhardt C. Ostalecki A. Baur J. Vera Katharina Breininger Andreas Maier MedIm 21 2 0 10 Nov 2022
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning Jong-whi Lee Jinhong Jung 78 12 0 02 Nov 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 87 0 0 26 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Helen Zhou 119 17 0 19 Oct 2022
ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction Ji Qi Bin Xu Kaisheng Zeng Jinxin Liu Jifan Yu Qifang Gao Juanzi Li Lei Hou GNN 75 1 0 08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 144 64 0 07 Oct 2022
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing Zeming Dong Qiang Hu Zhenya Zhang Yuejun Guo Maxime Cordy Mike Papadakis Yves Le Traon Jianjun Zhao 96 3 0 06 Oct 2022
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 75 1 0 30 Sep 2022
Efficient block contrastive learning via parameter-free meta-node approximation Gayan K. Kulatilleke Marius Portmann Shekhar S. Chandra 90 3 0 28 Sep 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations Yang Song Qiyu Kang Sijie Wang Zhao Kai Wee Peng Tay DiffM AAML 112 37 0 16 Sep 2022
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks Hyungeun Lee Kijung Yoon AI4CE 85 2 0 14 Sep 2022
Data Augmentation for Graph Data: Recent Advancements Maria Marrium Arif Mahmood 57 7 0 25 Aug 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 71 20 0 21 Aug 2022
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries Xiao Liu Shiyu Zhao Kai Su Yukuo Cen J. Qiu Mengdi Zhang Wei Wu Yuxiao Dong Jie Tang 70 58 0 16 Aug 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification Yidong Wang Hao Chen Yue Fan Wangbin Sun R. Tao ... T. Shinozaki Bernt Schiele Jindong Wang Xingxu Xie Yue Zhang 106 119 0 12 Aug 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks Han Li Changsheng Li Kaituo Feng Ye Yuan Guoren Wang H. Zha 85 14 0 22 Jul 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 98 118 0 10 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 82 43 0 09 Jun 2022
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing Jie Chen Weiqi Liu Zhizhong Huang Junbin Gao Junping Zhang Jian Pu 70 3 0 30 May 2022
Rethinking the Setting of Semi-supervised Learning on Graphs Ziang Li Ming Ding Weikai Li Zihan Wang Ziyu Zeng Yukuo Cen Jie Tang 26 0 0 28 May 2022
Asynchronous Neural Networks for Learning in Graphs Lukas Faber Roger Wattenhofer GNN 76 3 0 24 May 2022
Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions Shaohui Liu Chengyang Wu Hao Zhu 97 49 0 16 May 2022
Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection Jiaxin Liu Yuefei Lyu Xi Zhang Sihong Xie 62 1 0 24 Apr 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 56 53 0 21 Apr 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie Rajgopal Kannan C.-C. Jay Kuo 66 2 0 19 Apr 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 92 11 0 05 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 112 125 0 04 Apr 2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment Junseok Lee Yunhak Oh Yeonjun In Namkyeong Lee Dongmin Hyun Chanyoung Park 90 15 0 04 Apr 2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks Hyeon-ju Park Seunghun Lee S. Kim Jinyoung Park Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 112 52 0 26 Mar 2022
LEReg: Empower Graph Neural Networks with Local Energy Regularization Xiaojun Ma Hanyue Chen Guojie Song 62 3 0 20 Mar 2022
GRAND+: Scalable Graph Random Neural Networks Wenzheng Feng Yuxiao Dong Tinglin Huang Ziqi Yin Xu Cheng Evgeny Kharlamov Jie Tang GNN 68 44 0 12 Mar 2022
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision Jun Zhuang M. Hasan AAML 104 42 0 07 Mar 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng Jiang OOD 136 83 0 17 Feb 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 88 22 0 17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 84 233 0 16 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 125 102 0 16 Feb 2022
Learning Stochastic Graph Neural Networks with Constrained Variance Zhan Gao Elvin Isufi 111 5 0 29 Jan 2022
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer Erxue Min Yu Rong Tingyang Xu Yatao Bian P. Zhao Junzhou Huang Da Luo Kangyi Lin Sophia Ananiadou 104 36 0 25 Jan 2022
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks Qingsong Lv Ming Ding Qiang Liu Yuxiang Chen Wenzheng Feng Siming He Chang Zhou Jianguo Jiang Yuxiao Dong Jie Tang 139 330 0 30 Dec 2021
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective Lanning Wei Huan Zhao Zhiqiang He AI4CE 81 44 0 29 Dec 2021
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks Weigang Lu Yibing Zhan Binbin Lin Ziyu Guan Liu Liu Baosheng Yu Wei Zhao Yaming Yang Dacheng Tao GNN 80 15 0 22 Dec 2021
Set Twister for Single-hop Node Classification Yangze Zhou Vinayak A. Rao Bruno Ribeiro 72 0 0 17 Dec 2021
SCR: Training Graph Neural Networks with Consistency Regularization Chenhui Zhang Yufei He Yukuo Cen Zhenyu Hou Wenzheng Feng Yuxiao Dong Xu Cheng Hongyun Cai Feng He Jie Tang 81 8 0 08 Dec 2021
Multi-task Self-distillation for Graph-based Semi-Supervised Learning Yating Ren Junzhong Ji Lingfeng Niu Minglong Lei SSL 124 7 0 02 Dec 2021
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning Jun Hu Shengsheng Qian Quan Fang Changsheng Xu GNN 49 0 0 02 Dec 2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks Yu Wang Yuying Zhao Neil Shah Hanyu Wang 80 52 0 01 Dec 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 63 2 0 25 Nov 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 80 1 0 16 Nov 2021
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering Yaoming Cai Zijia Zhang Z. Cai Xiaobo Liu Yao Ding Pedram Ghamisi FedML 63 1 0 15 Nov 2021