Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification Xiang Gao Wei Hu Zongming Guo GNN 20 1 0 23 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Xia Hu AI4TS GNN 27 100 0 18 Apr 2019
GraphTSNE: A Visualization Technique for Graph-Structured Data Yao Yang Leow T. Laurent Xavier Bresson 19 18 0 15 Apr 2019
Graph Wavelet Neural Network Bingbing Xu Huawei Shen Qi Cao Yunqi Qiu Xueqi Cheng GNN 17 327 0 12 Apr 2019
Topological based classification of paper domains using graph convolutional networks I. Benami Keren Cohen Oved Nagar Y. Louzoun GNN 14 5 0 10 Apr 2019
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective Jia Li Yu Rong Hong Cheng Helen Meng Wen-bing Huang Junzhou Huang 17 149 0 10 Apr 2019
Adaptively Connected Neural Networks Guangrun Wang Keze Wang Liang Lin 26 47 0 07 Apr 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 30 410 0 28 Mar 2019
On the Theory of Dynamic Graph Regression Problem Mostafa Haghir Chehreghani 11 3 0 26 Mar 2019
Transfer Adaptation Learning: A Decade Survey Lei Zhang Xinbo Gao OOD 58 184 0 12 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 21 34 0 11 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method Shangsheng Xie Mingming Lu FAtt GNN 39 16 0 09 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval Anjan Dutta Zeynep Akata 33 143 0 08 Mar 2019
Generative Graph Convolutional Network for Growing Graphs Da Xu Chuanwei Ruan Kamiya Motwani Evren Körpeoglu Sushant Kumar Kannan Achan GNN 24 14 0 06 Mar 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 28 63 0 25 Feb 2019
GFCN: A New Graph Convolutional Network Based on Parallel Flows Feng Ji Jielong Yang Qiang Zhang Wee Peng Tay GNN 6 6 0 25 Feb 2019
Deep Learning Approach on Information Diffusion in Heterogeneous Networks Soheila Molaei Hadi Zare H. Veisi 11 48 0 23 Feb 2019
Noisy multi-label semi-supervised dimensionality reduction Karl Øyvind Mikalsen C. Soguero-Ruíz F. Bianchi Robert Jenssen NoLa 13 37 0 20 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 34 219 0 20 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 56 3,109 0 19 Feb 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification Fenyu Hu Yanqiao Zhu Shu Wu Liang Wang Tieniu Tan GNN 20 7 0 13 Feb 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 23 56 0 11 Feb 2019
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty Muhammad Raza Khan J. Blumenstock 11 78 0 31 Jan 2019
Label Efficient Semi-Supervised Learning via Graph Filtering Qimai Li Xiao-Ming Wu Han Liu Xiaotong Zhang Zhichao Guan 29 163 0 28 Jan 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
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 26 613 0 23 Jan 2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 18 19 0 14 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 25 227 0 06 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 27 388 0 05 Jan 2019
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 23 275 0 26 Dec 2018
COSINE: Compressive Network Embedding on Large-scale Information Networks Zhengyan Zhang Cheng Yang Zhiyuan Liu Maosong Sun Zhichong Fang Bo Zhang Leyu Lin GNN 16 7 0 21 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Yuchen Zhang Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 33 5,416 0 20 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 20 13 0 30 Nov 2018
Attributed Network Embedding for Incomplete Attributed Networks Chengbin Hou Shan He Ke Tang 14 1 0 28 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark J. Coates Deniz Üstebay GNN BDL 21 227 0 27 Nov 2018
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs Dimitris Berberidis G. Giannakis 8 18 0 27 Nov 2018
Role action embeddings: scalable representation of network positions George Berry GNN 21 2 0 19 Nov 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 32 1,327 0 14 Nov 2018
Multi-Task Graph Autoencoders Phi Vu Tran SSL 18 20 0 07 Nov 2018
A Recurrent Graph Neural Network for Multi-Relational Data Xuankai Chang A. Marques G. Giannakis GNN 27 35 0 05 Nov 2018
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding Peifeng Wang Jialong Han Chenliang Li Rong Pan NAI GNN 22 156 0 04 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 106 1,659 0 14 Oct 2018
Graph Diffusion-Embedding Networks Bo Jiang Doudou Lin Jin Tang GNN DiffM 13 0 0 01 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 66 2,346 0 27 Sep 2018
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning Yawei Luo T. Guan Junqing Yu Ping Liu Yi Yang SSL GNN 32 32 0 26 Sep 2018
Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised Learning Bo Jiang Doudou Lin GNN 22 7 0 26 Sep 2018
Hypergraph Neural Networks Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji Yue Gao GNN 28 1,341 0 25 Sep 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes Yin Cheng Ng Nicolo Colombo Ricardo M. A. Silva BDL 30 89 0 12 Sep 2018
Higher-order Graph Convolutional Networks J. B. Lee Ryan A. Rossi Xiangnan Kong Sungchul Kim Eunyee Koh Anup B. Rao GNN 22 35 0 12 Sep 2018
Exploiting Edge Features in Graph Neural Networks Liyu Gong Qiang Cheng GNN 9 21 0 07 Sep 2018