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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
Compositional Network Embedding Tianshu Lyu Fei Sun Peng Jiang Wenwu Ou Yan Zhang 41 0 0 17 Apr 2019
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning Binxuan Huang Kathleen M. Carley GNN 59 8 0 17 Apr 2019
Dynamic Node Embeddings from Edge Streams J. B. Lee G. Nguyen Ryan A. Rossi Nesreen Ahmed Eunyee Koh Sungchul Kim AI4TS 78 6 0 12 Apr 2019
Graph Wavelet Neural Network Bingbing Xu Huawei Shen Qi Cao Yunqi Qiu Xueqi Cheng GNN 89 333 0 12 Apr 2019
Topological based classification of paper domains using graph convolutional networks I. Benami Keren Cohen Oved Nagar Y. Louzoun GNN 41 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 51 152 0 10 Apr 2019
Adaptively Connected Neural Networks Guangrun Wang Keze Wang Liang Lin 94 47 0 07 Apr 2019
FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings Piotr Bielak Kamil Tagowski Maciej Falkiewicz Tomasz Kajdanowicz Nitesh Chawla GNN 13 1 0 06 Apr 2019
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification Lu Bai Lixin Cui Yuhang Jiao Luca Rossi Edwin R. Hancock GNN 60 58 0 06 Apr 2019
On Geometric Structure of Activation Spaces in Neural Networks Yuting Jia Haiwen Wang Shuo Shao Huan Long Yunsong Zhou Xinbing Wang 3DPC 166 8 0 02 Apr 2019
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity Yunsheng Bai Haoyang Ding Yang Qiao Agustin Marinovic Ken Gu Tingting Chen Yizhou Sun Wei Wang 127 10 0 01 Apr 2019
Learning Combinatorial Embedding Networks for Deep Graph Matching Runzhong Wang Junchi Yan Xiaokang Yang 78 239 0 01 Apr 2019
PyTorch-BigGraph: A Large-scale Graph Embedding System Adam Lerer Ledell Yu Wu Jiajun Shen Timothée Lacroix Luca Wehrstedt Abhijit Bose A. Peysakhovich GNN 96 390 0 28 Mar 2019
Multimodal Deep Network Embedding with Integrated Structure and Attribute Information Conghui Zheng Li Pan Peng Wu 62 22 0 28 Mar 2019
Node Embedding over Temporal Graphs Uriel Singer Ido Guy Kira Radinsky 94 155 0 21 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 105 54 0 19 Mar 2019
Extrapolating paths with graph neural networks Jean-Baptiste Cordonnier Andreas Loukas GNN 57 17 0 18 Mar 2019
Learning Edge Properties in Graphs from Path Aggregations Rakshit Agrawal Luca de Alfaro GNN FedML 48 6 0 11 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 72 34 0 11 Mar 2019
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph Weizhi Ma Min Zhang Yue Cao Woojeong Jin Jin Chenyang Wang Yiqun Liu Shaoping Ma Xiang Ren 81 220 0 09 Mar 2019
Multi-Hot Compact Network Embedding Chaozhuo Li Senzhang Wang Philip S. Yu Zhoujun Li 32 8 0 07 Mar 2019
Generative Graph Convolutional Network for Growing Graphs Da Xu Chuanwei Ruan Kamiya Motwani Evren Körpeoglu Sushant Kumar Kannan Achan GNN 58 14 0 06 Mar 2019
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GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding Zhaocheng Zhu Shizhen Xu Meng Qu Jian Tang GNN 124 115 0 02 Mar 2019
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 121 156 0 01 Mar 2019
Representation Learning for Recommender Systems with Application to the Scientific Literature Robin Brochier 38 5 0 28 Feb 2019
Link Prediction with Mutual Attention for Text-Attributed Networks Robin Brochier Adrien Guille Julien Velcin 60 13 0 28 Feb 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 97 25 0 28 Feb 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 125 276 0 28 Feb 2019
Global Vectors for Node Representations Robin Brochier Adrien Guille Julien Velcin 43 52 0 28 Feb 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 103 302 0 28 Feb 2019
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities Geewook Kim Akifumi Okuno Kazuki Fukui Hidetoshi Shimodaira 83 9 0 27 Feb 2019
Deep Adversarial Network Alignment Hanyu Wang Hamid Karimi Xiaorui Liu Jiejun Xu Jiliang Tang FedML GAN 69 48 0 27 Feb 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura H. Kanezashi Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 151 1,095 0 26 Feb 2019
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks Ziyao Li Liang Zhang Guojie Song 56 17 0 26 Feb 2019
Multi-Label Network Classification via Weighted Personalized Factorizations Ahmed Rashed Josif Grabocka Lars Schmidt-Thieme 32 2 0 25 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 113 64 0 25 Feb 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 151 37 0 23 Feb 2019
Leveraging Deep Graph-Based Text Representation for Sentiment Polarity Applications Kayvan Bijari Hadi Zare Emad Kebriaei H. Veisi 71 38 0 23 Feb 2019
Deep Learning Approach on Information Diffusion in Heterogeneous Networks Soheila Molaei Hadi Zare H. Veisi 27 50 0 23 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 119 390 0 23 Feb 2019
Robust Graph Embedding with Noisy Link Weights Akifumi Okuno Hidetoshi Shimodaira NoLa 31 7 0 22 Feb 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 169 574 0 22 Feb 2019
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction Jinyin Chen Jian Zhang Xuanheng Xu Chenbo Fu Dan Zhang Qingpeng Zhang Qi Xuan 80 145 0 22 Feb 2019
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks Zeyu Cui Zekun Li Shu Wu Xiaoyu Zhang Liang Wang 101 103 0 21 Feb 2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks Shuochao Yao Ailing Piao Wenjun Jiang Yiran Zhao Huajie Shao ... Tianshi Wang Shaohan Hu Lu Su Jiawei Han Tarek Abdelzaher AI4TS 87 79 0 21 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 132 222 0 20 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 371 3,209 0 19 Feb 2019
Learning Topological Representation for Networks via Hierarchical Sampling Guoji Fu Chengbin Hou Xin Yao AI4TS 52 26 0 15 Feb 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification Fenyu Hu Yanqiao Zhu Shu Wu Liang Wang Tieniu Tan GNN 56 7 0 13 Feb 2019