DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,442 papers shown

Title
Global and local evaluation of link prediction tasks with neural embeddings Asan Agibetov Matthias Samwald 33 10 0 27 Jul 2018
DeepLink: A Novel Link Prediction Framework based on Deep Learning M. Keikha M. Rahgozar M. Asadpour 14 20 0 27 Jul 2018
AceKG: A Large-scale Knowledge Graph for Academic Data Mining Ruijie Wang Yuchen Yan Jialu Wang Yuting Jia Ye Zhang Weinan Zhang Xinbing Wang SLR 27 106 0 23 Jul 2018
Attention Models in Graphs: A Survey J. B. Lee Ryan A. Rossi Sungchul Kim Nesreen K. Ahmed Eunyee Koh GNN 18 162 0 20 Jul 2018
Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine Learning Michaela Regneri Malte Hoffmann Jurij Kost N. Pietsch Timothy Schulz Sabine Stamm AAML 9 2 0 17 Jul 2018
DeepInf: Social Influence Prediction with Deep Learning J. Qiu Jian Tang Hao Ma Yuxiao Dong Kuansan Wang Jie Tang GNN AI4CE 11 536 0 15 Jul 2018
DeepMove: Learning Place Representations through Large Scale Movement Data Yang Zhou Yan Huang HAI BDL 30 28 0 11 Jul 2018
Network Classification in Temporal Networks Using Motifs Kun Tu Jian Li Don Towsley Dave Braines Liam D. Turner 11 16 0 10 Jul 2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi Qi Zhu Fang Guo Chao Zhang Jiawei Han 16 118 0 10 Jul 2018
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces Minhyuk Sung Anastasia Dubrovina Vladimir G. Kim Leonidas J. Guibas 3DPC 18 9 0 04 Jul 2018
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites Jiankai Sun Abhinav Vishnu Aniket Chakrabarti Charles Siegel Srinivasan Parthasarathy 13 19 0 02 Jul 2018
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data Victor Veitch Morgane Austern Wenda Zhou David M. Blei Peter Orbanz 17 9 0 27 Jun 2018
Search Rank Fraud De-Anonymization in Online Systems Mizanur Rahman Nestor Hernandez Bogdan Carbunar Duen Horng Chau 11 8 0 23 Jun 2018
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study Stephen Bonner Ibad Kureshi John Brennan Georgios Theodoropoulos A. Mcgough B. Obara 25 34 0 19 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,948 0 09 Jun 2018
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations Ashwin Kalyan Stefan Lee A. Kannan Dhruv Batra 15 6 0 08 Jun 2018
Spectral Network Embedding: A Fast and Scalable Method via Sparsity Jie Zhang Yan Wang Jie Tang Ming Ding GNN 14 5 0 07 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 129 3,491 0 06 Jun 2018
Closed Form Word Embedding Alignment Sunipa Dev Safia Hassan J. M. Phillips 24 3 0 04 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 121 3,087 0 04 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
Large-Margin Classification in Hyperbolic Space Hyunghoon Cho B. Demeo Jianhao Peng Bonnie Berger 20 71 0 01 Jun 2018
Fusion Graph Convolutional Networks Priyesh Vijayan Yash Chandak Mitesh M. Khapra Srinivasan Parthasarathy B. Ravindran GNN 21 2 0 31 May 2018
On representation power of neural network-based graph embedding and beyond Akifumi Okuno Hidetoshi Shimodaira 21 2 0 31 May 2018
What the Vec? Towards Probabilistically Grounded Embeddings Carl Allen Ivana Balazevic Timothy M. Hospedales 22 23 0 30 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
struc2gauss: Structural Role Preserving Network Embedding via Gaussian Embedding Yulong Pei Xin Du Jianpeng Zhang G. Fletcher Mykola Pechenizkiy 18 3 0 25 May 2018
KONG: Kernels for ordered-neighborhood graphs M. Draief Konstantin Kutzkov Kevin Scaman Milan Vojnović GNN 14 4 0 25 May 2018
Deep Graph Translation Xiaojie Guo Lingfei Wu Liang Zhao GNN 22 32 0 25 May 2018
Diffusion Maps for Textual Network Embedding Xinyuan Zhang Yitong Li Dinghan Shen Lawrence Carin DiffM GNN 11 25 0 24 May 2018
FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural Network Jiawei Zhang Limeng Cui Fisher B. Gouza GNN 17 92 0 22 May 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 37 1,058 0 21 May 2018
Learning Graph-Level Representations with Recurrent Neural Networks Yu Jin J. JáJá GNN SSL 33 13 0 20 May 2018
Conditional Network Embeddings Bo Kang Jefrey Lijffijt T. D. Bie 20 44 0 19 May 2018
GEN Model: An Alternative Approach to Deep Neural Network Models Jiawei Zhang Limeng Cui Fisher B. Gouza 14 0 0 19 May 2018
Deep Loopy Neural Network Model for Graph Structured Data Representation Learning Jiawei Zhang GNN 9 6 0 19 May 2018
On Deep Ensemble Learning from a Function Approximation Perspective Jiawei Zhang Limeng Cui Fisher B. Gouza FedML 14 0 0 19 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
GANE: A Generative Adversarial Network Embedding Huiting Hong Xin Li Mingzhong Wang GAN 21 30 0 18 May 2018
Constructing Narrative Event Evolutionary Graph for Script Event Prediction Zhongyang Li Xiao Ding Ting Liu 16 192 0 14 May 2018
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning Jose Camacho-Collados Mohammad Taher Pilehvar 25 335 0 10 May 2018
hyperdoc2vec: Distributed Representations of Hypertext Documents Jialong Han Yan Song Wayne Xin Zhao Shuming Shi Haisong Zhang 27 30 0 10 May 2018
Diffusion Based Network Embedding Yong Shi Minglong Lei Peng Zhang Lingfeng Niu 23 4 0 09 May 2018
Billion-scale Network Embedding with Iterative Random Projection Ziwei Zhang Peng Cui Haoyang Li Tianlin Li Wenwu Zhu 94 80 0 07 May 2018
Towards a Spectrum of Graph Convolutional Networks Mathias Niepert Alberto García-Durán GNN 25 1 0 04 May 2018
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings Saba A. Al-Sayouri Ekta Gujral Danai Koutra Evangelos E. Papalexakis Sarah S. Lam 11 9 0 03 May 2018
RECS: Robust Graph Embedding Using Connection Subgraphs Saba A. Al-Sayouri Danai Koutra Evangelos E. Papalexakis Sarah S. Lam 8 1 0 03 May 2018
Efficient Graph Computation for Node2Vec Dongyan Zhou Songjie Niu Shimin Chen 27 20 0 01 May 2018
Fast and scalable learning of neuro-symbolic representations of biomedical knowledge Asan Agibetov Matthias Samwald 34 6 0 30 Apr 2018
Semi-Supervised Learning with Declaratively Specified Entropy Constraints Haitian Sun William W. Cohen Lidong Bing 13 5 0 24 Apr 2018