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DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

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Title
Leveraging Trust and Distrust in Recommender Systems via Deep Learning Dimitrios Rafailidis FedML 28 0 0 31 May 2019
Clustering without Over-Representation Sara Ahmadian Alessandro Epasto Ravi Kumar Mohammad Mahdian 76 103 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 133 1,425 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 41 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 149 144 0 28 May 2019
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs Valeria Fionda G. Pirrò 29 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 105 465 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 84 119 0 27 May 2019
FOBE and HOBE: First- and High-Order Bipartite Embeddings Justin Sybrandt Ilya Safro 66 15 0 27 May 2019
Hyperbolic Interaction Model For Hierarchical Multi-Label Classification Boli Chen Xin Huang Lin Xiao Zixin Cai L. Jing 111 67 0 26 May 2019
Graph Attention Auto-Encoders Amin Salehi H. Davulcu GNN 82 125 0 26 May 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 139 259 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 Helen Zhou 89 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 77 68 0 24 May 2019
Spring-Electrical Models For Link Prediction Yana Kashinskaya E. Samosvat A. Artikov 21 3 0 24 May 2019
Low-dimensional statistical manifold embedding of directed graphs Thorben Funke Tian Guo Alen Lancic Nino Antulov-Fantulin 63 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 70 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 50 4 0 24 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin Heng Chang Wenwu Zhu Somayeh Sojoudi AAML GNN 127 27 0 24 May 2019
GLEE: Geometric Laplacian Eigenmap Embedding Leo Torres Kevin S. Chan Tina Eliassi-Rad 47 26 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 77 233 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 115 100 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 95 94 0 23 May 2019
Joint embedding of structure and features via graph convolutional networks Sébastien Lerique Jacob Levy Abitbol M. Karsai GNN 59 30 0 21 May 2019
Mutual Information Maximization in Graph Neural Networks Xinhan Di Pengqian Yu Rui Bu Mingchao Sun 89 21 0 21 May 2019
Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks Karan Sikka Lucas Van Bramer Ajay Divakaran 105 2 0 17 May 2019
TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking Chen Qian Lijie Wen Akhil Kumar 33 1 0 16 May 2019
Scalable Graph Embeddings via Sparse Transpose Proximities Yuan Yin Zhewei Wei 70 54 0 16 May 2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets Guanhua Zhang Bing Bai Jian Liang Kun Bai Shiyu Chang Mo Yu Conghui Zhu Tiejun Zhao 90 27 0 15 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 113 295 0 15 May 2019
Relation Structure-Aware Heterogeneous Information Network Embedding Yuanfu Lu C. Shi Linmei Hu Zhiyuan Liu 66 129 0 15 May 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 78 83 0 14 May 2019
ActiveHNE: Active Heterogeneous Network Embedding Xia Chen Guoxian Yu Jun Wang C. Domeniconi Zheng Li Xiangliang Zhang 72 86 0 14 May 2019
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs Lingbing Guo Zequn Sun Wei Hu 89 270 0 13 May 2019
Language in Our Time: An Empirical Analysis of Hashtags Yang Zhang 93 26 0 11 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 253 1,101 0 11 May 2019
Predicting Path Failure In Time-Evolving Graphs Jia Li Zhichao Han Hong Cheng Jiao Su Pengyun Wang Jianfeng Zhang Lujia Pan GNN 96 125 0 10 May 2019
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts Alessandro Epasto Bryan Perozzi 56 104 0 06 May 2019
Representation Learning for Attributed Multiplex Heterogeneous Network Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou Jie Tang GNN 108 435 0 05 May 2019
Network Representation Learning: Consolidation and Renewed Bearing Saket Gurukar Priyesh Vijayan Aakash Srinivasan Goonmeet Bajaj Chen Cai ... Pranav Maneriker Anasua Mitra Vedang Patel Balaraman Ravindran Srinivasan Parthasarathy 78 23 0 02 May 2019
Drug-Drug Adverse Effect Prediction with Graph Co-Attention Andreea Deac Yu-Hsiang Huang Petar Velickovic Pietro Lio Jian Tang 109 81 0 02 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 222 924 0 30 Apr 2019
Multimodal Classification of Urban Micro-Events M. Sukel Stevan Rudinac Marcel Worring 62 12 0 30 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 79 24 0 24 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification Xiang Gao Wei Hu Zongming Guo GNN 77 1 0 23 Apr 2019
Will this Course Increase or Decrease Your GPA? Towards Grade-aware Course Recommendation Sara Morsy George Karypis 39 23 0 22 Apr 2019
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions Bo Kang Jefrey Lijffijt T. D. Bie 64 21 0 22 Apr 2019
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 59 57 0 21 Apr 2019
Tag2Vec: Learning Tag Representations in Tag Networks Junshan Wang Zhicong Lu Guojie Song Yue Fan Lun Du Wei Lin 3DV 86 19 0 19 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Helen Zhou AI4TS GNN 69 106 0 18 Apr 2019