Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

Papers citing "Revisiting Semi-Supervised Learning with Graph Embeddings"

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Title
Active Learning for Graph Neural Networks via Node Feature Propagation Yuexin Wu Yichong Xu Aarti Singh Yiming Yang A. Dubrawski GNN AI4CE 48 63 0 16 Oct 2019
Personalized Context-Aware Multi-Modal Transportation Recommendation Meixin Zhu Jingyun Hu Hao Hao Yang Ziyuan Pu Yinhai Wang AI4TS 12 1 0 13 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 56 162 0 07 Oct 2019
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs Josh Payne GNN 30 24 0 07 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 34 23 0 06 Oct 2019
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 35 106 0 06 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 19 27 0 01 Oct 2019
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference Zhiwei Deng Greg Mori 25 0 0 29 Sep 2019
Neural Embedding Propagation on Heterogeneous Networks Carl Yang Jieyu Zhang Jiawei Han 32 20 0 29 Sep 2019
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 21 14 0 26 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit John Palowitch Bryan Perozzi 19 19 0 25 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions Shupeng Gui Xiangliang Zhang Pan Zhong Shuang Qiu Mingrui Wu Jieping Ye Zhengdao Wang Ji Liu 27 15 0 25 Sep 2019
Semi-supervised classification on graphs using explicit diffusion dynamics Robert L. Peach Alexis Arnaudon Mauricio Barahona GNN DiffM 16 15 0 24 Sep 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation Jiawei Zhang Lin Meng 21 52 0 12 Sep 2019
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks Jiaxiang Tang Wei Hu Xiang Gao Zongming Guo GNN 17 8 0 11 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 30 1,081 0 07 Sep 2019
Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets Yang Li Jianhe Yuan Zhiqun Zhao Hao Sun Zhihai He 16 6 0 04 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 29 86 0 04 Sep 2019
Graph Representation Learning: A Survey Fenxiao Chen Yun Cheng Wang Bin Wang C.-C. Jay Kuo GNN AI4TS 30 202 0 03 Sep 2019
Semi-Implicit Graph Variational Auto-Encoders Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 6 129 0 19 Aug 2019
Neural Dynamics on Complex Networks Chengxi Zang Fei Wang AI4CE 35 68 0 18 Aug 2019
Learning Conceptual-Contextual Embeddings for Medical Text Xiao Zhang Dejing Dou Ji Wu BDL 14 17 0 16 Aug 2019
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Floris Hermsen Peter Bloem Fabian Jansen W. Vos GNN BDL 14 1 0 14 Aug 2019
Semi-Supervised Learning using Differentiable Reasoning Emile van Krieken Erman Acar F. V. Harmelen DRL 8 21 0 13 Aug 2019
Hybrid Low-order and Higher-order Graph Convolutional Networks Fangyu Lei Xun Liu Qingyun Dai B. Ling Huimin Zhao Yan Liu GNN 27 16 0 02 Aug 2019
Fast Haar Transforms for Graph Neural Networks Ming Li Zheng Ma Yu Guang Wang Xiaosheng Zhuang 33 74 0 10 Jul 2019
Graph Representation Learning via Hard and Channel-Wise Attention Networks Hongyang Gao Shuiwang Ji GNN 25 57 0 05 Jul 2019
Dimensional Reweighting Graph Convolutional Networks Xu Zou Qiuye Jia Jianwei Zhang Chang Zhou Hongxia Yang Jie Tang GNN 28 8 0 04 Jul 2019
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data Zhen Wang Xiang Yue Soheil Moosavinasab Yungui Huang Simon M. Lin Huan Sun 14 15 0 21 Jun 2019
ANAE: Learning Node Context Representation for Attributed Network Embedding Keting Cen Huawei Shen Jinhua Gao Qi Cao Bingbing Xu Xueqi Cheng GNN 16 1 0 20 Jun 2019
Learning Representations of Graph Data -- A Survey Mital Kinderkhedia GNN 20 12 0 07 Jun 2019
Multi-Frequency Vector Diffusion Maps Yifeng Fan Zhizhen Zhao DiffM 25 13 0 06 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 34 155 0 05 Jun 2019
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings P. Elinas Edwin V. Bonilla Louis C. Tiao BDL GNN 29 10 0 05 Jun 2019
DANE: Domain Adaptive Network Embedding Yizhou Zhang Guojie Song Lun Du Shuwen Yang Yilun Jin OOD 27 78 0 03 Jun 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 27 155 0 30 May 2019
Sublinear Update Time Randomized Algorithms for Dynamic Graph Regression M. H. Chehreghani 14 1 0 28 May 2019
A Review of Semi Supervised Learning Theories and Recent Advances E. Tu Jie Yang 16 14 0 28 May 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning Jiaqi Ma Weijing Tang Ji Zhu Qiaozhu Mei BDL 13 62 0 26 May 2019
Graph Attention Auto-Encoders Amin Salehi H. Davulcu GNN 25 117 0 26 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin Heng Chang Wenwu Zhu Somayeh Sojoudi AAML GNN 21 27 0 24 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 33 420 0 23 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 22 288 0 15 May 2019
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference Lukas Galke Iacopo Vagliano A. Scherp CLL GNN OnRL AI4CE 14 10 0 15 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 39 1,066 0 11 May 2019
Representation Learning for Attributed Multiplex Heterogeneous Network Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou Jie Tang GNN 13 428 0 05 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 36 884 0 30 Apr 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 61 2,292 0 29 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 24 24 0 24 Apr 2019