Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
BiasedWalk: Biased Sampling for Representation Learning on Graphs Duong Nguyen Fragkiskos D. Malliaros 12 17 0 07 Sep 2018
Semi-supervised Learning on Graphs with Generative Adversarial Nets Ming Ding Jie Tang Jie Zhang GNN GAN 14 116 0 01 Sep 2018
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs Dimitri Kartsaklis Mohammad Taher Pilehvar Nigel Collier 13 55 0 23 Aug 2018
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 19 43 0 20 Aug 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 33 588 0 12 Aug 2018
DeepMove: Learning Place Representations through Large Scale Movement Data Yang Zhou Yan Huang HAI BDL 22 28 0 11 Jul 2018
Jointly Embedding Entities and Text with Distant Supervision Denis R. Newman-Griffis A. Lai Eric Fosler-Lussier 28 30 0 09 Jul 2018
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data Victor Veitch Morgane Austern Wenda Zhou David M. Blei Peter Orbanz 9 9 0 27 Jun 2018
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations Ashwin Kalyan Stefan Lee A. Kannan Dhruv Batra 7 6 0 08 Jun 2018
Dual-Primal Graph Convolutional Networks Federico Monti Oleksandr Shchur Aleksandar Bojchevski Or Litany Stephan Günnemann M. Bronstein GNN 33 79 0 03 Jun 2018
Fusion Graph Convolutional Networks Priyesh Vijayan Yash Chandak Mitesh M. Khapra Srinivasan Parthasarathy B. Ravindran GNN 21 2 0 31 May 2018
HOPF: Higher Order Propagation Framework for Deep Collective Classification Priyesh Vijayan Yash Chandak Mitesh M. Khapra Srinivasan Parthasarathy Balaraman Ravindran 11 3 0 31 May 2018
Lovasz Convolutional Networks Prateek Yadav M. Nimishakavi N. Yadati Shikhar Vashishth A. Rajkumar Partha P. Talukdar GNN 28 11 0 29 May 2018
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning Shupeng Gui Xiangliang Zhang Shuang Qiu Mingrui Wu Jieping Ye Ji Liu 13 0 0 28 May 2018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 22 666 0 25 May 2018
Input and Weight Space Smoothing for Semi-supervised Learning Safa Cicek Stefano Soatto 22 6 0 23 May 2018
Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed Cheng Ju James Li Bram Wasti Shengbo Guo GNN 22 1 0 18 May 2018
Domain Adaptation with Adversarial Training and Graph Embeddings Firoj Alam Chenyu You Muhammad Imran OOD 27 118 0 14 May 2018
Billion-scale Network Embedding with Iterative Random Projection Ziwei Zhang Peng Cui Haoyang Li Tianlin Li Wenwu Zhu 89 80 0 07 May 2018
Towards a Spectrum of Graph Convolutional Networks Mathias Niepert Alberto García-Durán GNN 25 1 0 04 May 2018
SaaS: Speed as a Supervisor for Semi-supervised Learning Safa Cicek Alhussein Fawzi Stefano Soatto BDL 30 19 0 02 May 2018
Graph Based Semi-supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets Firoj Alam Chenyu You Muhammad Imran 6 73 0 02 May 2018
Semi-Supervised Learning with Declaratively Specified Entropy Constraints Haitian Sun William W. Cohen Lidong Bing 8 5 0 24 Apr 2018
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning Dengxin Dai Wen Li Till Kroeger Luc Van Gool 8 2 0 06 Apr 2018
Adaptive Diffusions for Scalable Learning over Graphs Dimitris Berberidis A. Nikolakopoulos G. Giannakis GNN 11 36 0 05 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 25 172 0 03 Apr 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 33 296 0 28 Mar 2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs Xinyu Wang Yufei Ye Abhinav Gupta 20 584 0 21 Mar 2018
Reviving and Improving Recurrent Back-Propagation Renjie Liao Yuwen Xiong Ethan Fetaya Lisa Zhang Kijung Yoon Xaq Pitkow R. Urtasun R. Zemel BDL 44 118 0 16 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification Renjie Liao Marc Brockschmidt Daniel Tarlow Alexander L. Gaunt R. Urtasun R. Zemel GNN 22 76 0 16 Mar 2018
Attention-based Graph Neural Network for Semi-supervised Learning K. K. Thekumparampil Chong-Jun Wang Sewoong Oh Li-Jia Li GNN 29 332 0 10 Mar 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 30 157 0 07 Mar 2018
Improving Graph Convolutional Networks with Non-Parametric Activation Functions Simone Scardapane S. Van Vaerenbergh Danilo Comminiello A. Uncini GNN 25 7 0 26 Feb 2018
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification Sami Abu-El-Haija Amol Kapoor Bryan Perozzi Joonseok Lee GNN SSL 36 258 0 24 Feb 2018
Learning to Make Predictions on Graphs with Autoencoders Phi Vu Tran GNN SSL AI4CE 16 57 0 23 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 41 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 26 96 0 07 Feb 2018
HONE: Higher-Order Network Embeddings Ryan A. Rossi Nesreen Ahmed Eunyee Koh Sungchul Kim Anup B. Rao Yasin Abbasi-Yadkori 29 22 0 28 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 87 2,779 0 22 Jan 2018
Multiview Deep Learning for Predicting Twitter Users' Location T. Do Duc Minh Nguyen Evaggelia Tsiligianni Bruno Cornelis Nikos Deligiannis 13 36 0 21 Dec 2017
Network Representation Learning: A Survey Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang GNN AI4TS 38 618 0 04 Dec 2017
Adversarial Network Embedding Quanyu Dai Qiang Li Jian Tang Dan Wang GNN GAN 43 221 0 21 Nov 2017
Motif-based Convolutional Neural Network on Graphs Aravind Sankar Xinyang Zhang Kevin Chen-Chuan Chang GNN 35 42 0 15 Nov 2017
Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective Junliang Guo Linli Xu Xunpeng Huang Enhong Chen 11 1 0 11 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 146 19,765 0 30 Oct 2017
Topology Adaptive Graph Convolutional Networks Jian Du Shanghang Zhang Guanhang Wu José M. F. Moura S. Kar GNN 35 300 0 28 Oct 2017
Learning Structural Node Embeddings Via Diffusion Wavelets Claire Donnat Marinka Zitnik David Hallac J. Leskovec GNN DiffM 30 386 0 27 Oct 2017
Watch Your Step: Learning Node Embeddings via Graph Attention Sami Abu-El-Haija Bryan Perozzi Rami Al-Rfou Alexander A. Alemi GNN 32 32 0 26 Oct 2017
Binary Classification from Positive-Confidence Data Takashi Ishida Gang Niu Masashi Sugiyama 38 56 0 19 Oct 2017
Graph Embedding with Rich Information through Heterogeneous Network Guolei Sun Xiangliang Zhang 22 3 0 18 Oct 2017