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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"

36 / 186 papers shown

Title
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks Pál András Papp Karolis Martinkus Lukas Faber Roger Wattenhofer GNN 88 142 0 11 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng Xu Zou Yuxiao Dong Yukuo Cen Da Yin Jiarong Xu Yang Yang Jie Tang OOD AAML 84 51 0 08 Nov 2021
A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction Gamze Akyol Sanem Sariel E. Aksoy GNN DRL BDL 58 2 0 25 Oct 2021
Gophormer: Ego-Graph Transformer for Node Classification Jianan Zhao Chaozhuo Li Qian Wen Yiqi Wang Yuming Liu Hao Sun Xing Xie Yanfang Ye 77 84 0 25 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 61 9 0 15 Oct 2021
Asymmetric Graph Representation Learning Zhuo Tan B. Liu Guosheng Yin 53 1 0 14 Oct 2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation Cole Hawkins V. Ioannidis Soji Adeshina George Karypis GNN SSL 59 2 0 12 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 112 37 0 03 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 231 79 0 01 Oct 2021
Self-Training with Differentiable Teacher Simiao Zuo Yue Yu Chen Liang Haoming Jiang Siawpeng Er Chao Zhang T. Zhao H. Zha 96 14 0 15 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 130 95 0 08 Sep 2021
Tree Decomposed Graph Neural Network Yu Wang Hanyu Wang 60 71 0 25 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
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 174 21 0 21 Jul 2021
Statistical Estimation from Dependent Data Y. Dagan Anthimos Vardis Kandiros Nishanth Dikkala Surbhi Goel C. Daskalakis 39 8 0 20 Jul 2021
A Graph Data Augmentation Strategy with Entropy Preservation Xue Liu Dan Sun Wei Wei AAML 38 1 0 13 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 Helen Zhou GNN AI4CE 92 119 0 06 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
Customizing Graph Neural Networks using Path Reweighting Jianpeng Chen Yujing Wang Ming Zeng Zongyi Xiang Bitan Hou Yu Tong Ole J. Mengshoel Yazhou Ren 76 2 0 21 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 92 1 0 10 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 89 100 0 03 Jun 2021
Knowledge-aware Contrastive Molecular Graph Learning Yin Fang Haihong Yang Zhuang Xiang Xin Shao Xiaohui Fan Huajun Chen 59 19 0 24 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 140 17 0 01 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 118 594 0 28 Feb 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 154 210 0 26 Feb 2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu Guoqiang Zhang Kenta Niwa 50 9 0 20 Feb 2021
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 88 12 0 30 Dec 2020
Barking up the right tree: an approach to search over molecule synthesis DAGs John Bradshaw Brooks Paige Matt J. Kusner Marwin H. S. Segler José Miguel Hernández-Lobato 117 56 0 21 Dec 2020
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification Deli Chen Yankai Lin Lei Li Xuancheng Ren Peng Li Jie Zhou Xu Sun 92 5 0 14 Dec 2020
Deperturbation of Online Social Networks via Bayesian Label Transition Jun Zhuang M. Hasan AAML 109 10 0 27 Oct 2020
Graph Fairing Convolutional Networks for Anomaly Detection Mahsa Mesgaran A. Ben Hamza 69 25 0 20 Oct 2020
Action Sequence Augmentation for Early Graph-based Anomaly Detection Tong Zhao Bo Ni Wenhao Yu Zhichun Guo Neil Shah Meng Jiang 108 19 0 20 Oct 2020
Multi-grained Semantics-aware Graph Neural Networks Zhiqiang Zhong Chengzong Li Jun Pang AI4CE 66 9 0 01 Oct 2020
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization T. Do Duc Minh Nguyen Giannis Bekoulis Adrian Munteanu Nikos Deligiannis 60 38 0 28 Aug 2020
Stochastic Graph Neural Networks Zhan Gao Elvin Isufi Alejandro Ribeiro 38 1 0 04 Jun 2020
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs Qimai Li Xiaotong Zhang Han Liu Quanyu Dai Xiao-Ming Wu GNN SSL 116 15 0 26 Sep 2019