Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking

12 July 2017

Stephan Günnemann

Papers citing "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking"

27 / 127 papers shown

Title
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 30 480 0 05 Jul 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 34 713 0 14 Jun 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 26 387 0 22 May 2020
Directed Graph Convolutional Network Zekun Tong Keli Zhang Changsheng Sun David S. Rosenblum A. Lim BDL GNN 26 112 0 29 Apr 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature Interactions Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 31 11 0 05 Mar 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks Tsubasa Takahashi GNN AAML 16 37 0 19 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction Felix L. Opolka Pietro Lio GNN 27 15 0 11 Feb 2020
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 27 97 0 17 Nov 2019
Semi-supervisedly Co-embedding Attributed Networks Zaiqiao Meng Shangsong Liang Jinyuan Fang Teng Xiao GNN DRL 20 26 0 31 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 53 686 0 28 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 21 23 0 27 Oct 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
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 20 184 0 26 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 33 80 0 14 Aug 2019
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts Alessandro Epasto Bryan Perozzi 22 103 0 06 May 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 26 54 0 19 Mar 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 28 568 0 22 Feb 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth Prateek Yadav Manik Bhandari Partha P. Talukdar GNN 33 40 0 24 Jan 2019
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 54 1,321 0 11 Dec 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 82 1,654 0 14 Oct 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 34 1,054 0 21 May 2018
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding Vachik S. Dave Baichuan Zhang Pin-Yu Chen M. Hasan BDL 29 29 0 23 Apr 2018
NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski Oleksandr Shchur Daniel Zügner Stephan Günnemann GAN GNN 29 360 0 02 Mar 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 38 7 0 15 Feb 2018
Learning Role-based Graph Embeddings Nesreen Ahmed Ryan Rossi J. B. Lee Theodore L. Willke R. Zhou Xiangnan Kong Hoda Eldardiry 23 96 0 07 Feb 2018
MotifNet: a motif-based Graph Convolutional Network for directed graphs Federico Monti Karl Otness M. Bronstein GNN 31 143 0 04 Feb 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 260 1,811 0 25 Nov 2016