DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

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Title
Deep Active Learning for Anchor User Prediction Anfeng Cheng Chuan Zhou Hong Yang Jia Wu Lei Li Jianlong Tan Li Guo HAI 6 29 0 18 Jun 2019
Making Fast Graph-based Algorithms with Graph Metric Embeddings Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Alexander Panchenko 15 6 0 17 Jun 2019
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank Renchi Yang Jieming Shi Xiaokui Xiao Yifan Yang S. Bhowmick 30 65 0 17 Jun 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach Chun Wang Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Chengqi Zhang GNN 25 503 0 15 Jun 2019
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors Sotiris Kotitsas Dimitris Pappas Ion Androutsopoulos Ryan T. McDonald Marianna Apidianaki GNN 11 15 0 13 Jun 2019
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach D. Tam Wing Cheong Lau Bin Hu Qiufang Ying D. Chiu Hong Liu GNN 33 21 0 13 Jun 2019
Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms Dixin Luo Hongteng Xu Lawrence Carin 11 5 0 13 Jun 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations Xiang Yue Zhen Wang Jingong Huang Srinivasan Parthasarathy Soheil Moosavinasab Yungui Huang S. Lin Wen Zhang Ping Zhang Huan Sun GNN 21 325 0 12 Jun 2019
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction Apoorva Dornadula Austin Narcomey Ranjay Krishna Michael S. Bernstein Li Fei-Fei OCL 28 3 0 12 Jun 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 33 490 0 11 Jun 2019
Heterogeneous network approach to predict individuals' mental health Shikang Liu Fatemeh Vahedian David S. Hachen Omar Alcides Lizardo C. Poellabauer A. Striegel T. Milenković 9 14 0 11 Jun 2019
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective Kaidi Xu Hongge Chen Sijia Liu Pin-Yu Chen Tsui-Wei Weng Mingyi Hong Xue Lin AAML 24 451 0 10 Jun 2019
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling Hao Peng Jianxin Li Haozheng Yan Qiran Gong Senzhang Wang Lin Liu Lihong Wang Xiang Ren 9 33 0 09 Jun 2019
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification Hao Peng Jianxin Li Qiran Gong Senzhang Wang Lifang He Bo Li Lihong Wang Philip S. Yu GNN 19 141 0 09 Jun 2019
Learning Representations of Graph Data -- A Survey Mital Kinderkhedia GNN 30 12 0 07 Jun 2019
Towards conceptual generalization in the embedding space Luka Nenadović Vladimir Prelovac 22 0 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
Improving Textual Network Embedding with Global Attention via Optimal Transport Liqun Chen Guoyin Wang Chenyang Tao Dinghan Shen Pengyu Cheng Xinyuan Zhang Wenlin Wang Yizhe Zhang Lawrence Carin GNN OT 14 21 0 05 Jun 2019
Task-Guided Pair Embedding in Heterogeneous Network Chanyoung Park Donghyun Kim Qi Zhu Jiawei Han Hwanjo Yu 13 19 0 04 Jun 2019
Attributed Graph Clustering via Adaptive Graph Convolution Xiaotong Zhang Han Liu Qimai Li Xiao-Ming Wu GNN 23 293 0 04 Jun 2019
DANE: Domain Adaptive Network Embedding Yizhou Zhang Guojie Song Lun Du Shuwen Yang Yilun Jin OOD 27 78 0 03 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang OffRL LRM CLL 36 116 0 02 Jun 2019
End to end learning and optimization on graphs Bryan Wilder Eric Ewing B. Dilkina Milind Tambe GNN 39 106 0 31 May 2019
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction Ziniu Hu Changjun Fan Ting-Li Chen Kai-Wei Chang Yizhou Sun 32 43 0 31 May 2019
Explainability Techniques for Graph Convolutional Networks Federico Baldassarre Hossein Azizpour GNN FAtt 33 265 0 31 May 2019
Spotting Collective Behaviour of Online Frauds in Customer Reviews Sarthika Dhawan Siva Charan Reddy Gangireddy Shivani Kumar Tanmoy Chakraborty 14 32 0 31 May 2019
Leveraging Trust and Distrust in Recommender Systems via Deep Learning Dimitrios Rafailidis FedML 14 0 0 31 May 2019
Clustering without Over-Representation Sara Ahmadian Alessandro Epasto Ravi Kumar Mohammad Mahdian 14 100 0 29 May 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 35 1,365 0 29 May 2019
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering Liwei Wu Hsiang-Fu Yu Nikhil S. Rao James Sharpnack Cho-Jui Hsieh GNN 16 10 0 29 May 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe Peter O'Connor Bastiaan S. Veeling SSL 14 143 0 28 May 2019
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs Valeria Fionda G. Pirrò 20 6 0 28 May 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 36 447 0 27 May 2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network Hao Wang Tong Xu Qi Liu Defu Lian Enhong Chen Dongfang Du Han Wu Wen Su 21 114 0 27 May 2019
FOBE and HOBE: First- and High-Order Bipartite Embeddings Justin Sybrandt Ilya Safro 27 15 0 27 May 2019
Hyperbolic Interaction Model For Hierarchical Multi-Label Classification Boli Chen Xin Huang Lin Xiao Zixin Cai L. Jing 28 65 0 26 May 2019
Graph Attention Auto-Encoders Amin Salehi H. Davulcu GNN 25 117 0 26 May 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 33 256 0 25 May 2019
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding Ninghao Liu Qiaoyu Tan Yuening Li Hongxia Yang Jingren Zhou Xia Hu 30 86 0 25 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach Changjun Fan Li Zeng Yuhui Ding Muhao Chen Yizhou Sun Zhong Liu GNN 30 67 0 24 May 2019
Spring-Electrical Models For Link Prediction Yana Kashinskaya E. Samosvat A. Artikov 14 3 0 24 May 2019
Low-dimensional statistical manifold embedding of directed graphs Thorben Funke Tian Guo Alen Lancic Nino Antulov-Fantulin 27 4 0 24 May 2019
Learning Cross-Domain Representation with Multi-Graph Neural Network Ouyang Yi Bin Guo Xing Tang Xiuqiang He Jian Xiong Zhiwen Yu AI4CE 39 18 0 24 May 2019
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information Bo Kang Dario Garcia-Garcia Jefrey Lijffijt Raúl Santos-Rodríguez T. D. Bie 22 4 0 24 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin Heng Chang Wenwu Zhu Somayeh Sojoudi AAML GNN 24 27 0 24 May 2019
GLEE: Geometric Laplacian Eigenmap Embedding Leo Torres Kevin S. Chan Tina Eliassi-Rad 9 25 0 23 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 24 226 0 23 May 2019
Gravity-Inspired Graph Autoencoders for Directed Link Prediction Guillaume Salha-Galvan Stratis Limnios Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN CML 39 96 0 23 May 2019
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions Nuo Xu Peijie Wang Long Chen Jing Tao Junzhou Zhao GNN 27 91 0 23 May 2019
Joint embedding of structure and features via graph convolutional networks Sébastien Lerique Jacob Levy Abitbol M. Karsai GNN 25 30 0 21 May 2019