DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

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Title
Mutual Information Maximization in Graph Neural Networks Xinhan Di Pengqian Yu Rui Bu Mingchao Sun 40 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 25 2 0 17 May 2019
TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking Chen Qian Lijie Wen Akhil Kumar 11 1 0 16 May 2019
Scalable Graph Embeddings via Sparse Transpose Proximities Yuan Yin Zhewei Wei 33 53 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 23 27 0 15 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 22 288 0 15 May 2019
Relation Structure-Aware Heterogeneous Information Network Embedding Yuanfu Lu C. Shi Linmei Hu Zhiyuan Liu 22 125 0 15 May 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 37 80 0 14 May 2019
ActiveHNE: Active Heterogeneous Network Embedding Xia Chen Guoxian Yu Jun Wang C. Domeniconi Zheng Li Xiangliang Zhang 19 86 0 14 May 2019
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs Lingbing Guo Zequn Sun Wei Hu 28 262 0 13 May 2019
Language in Our Time: An Empirical Analysis of Hashtags Yang Zhang 25 26 0 11 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 39 1,066 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 8 120 0 10 May 2019
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts Alessandro Epasto Bryan Perozzi 30 103 0 06 May 2019
Representation Learning for Attributed Multiplex Heterogeneous Network Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou Jie Tang GNN 29 428 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 33 22 0 02 May 2019
Drug-Drug Adverse Effect Prediction with Graph Co-Attention Andreea Deac Yu-Hsiang Huang Petar Velickovic Pietro Lio Jian Tang 27 77 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 36 884 0 30 Apr 2019
Multimodal Classification of Urban Micro-Events M. Sukel S. Rudinac M. Worring 13 10 0 30 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 24 24 0 24 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification Xiang Gao Wei Hu Zongming Guo GNN 20 1 0 23 Apr 2019
Will this Course Increase or Decrease Your GPA? Towards Grade-aware Course Recommendation Sara Morsy George Karypis 14 23 0 22 Apr 2019
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions Bo Kang Jefrey Lijffijt T. D. Bie 11 21 0 22 Apr 2019
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 16 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 28 18 0 19 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Xia Hu AI4TS GNN 27 100 0 18 Apr 2019
Compositional Network Embedding Tianshu Lyu Fei Sun Peng Jiang Wenwu Ou Yan Zhang 17 0 0 17 Apr 2019
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning Binxuan Huang Kathleen M. Carley GNN 27 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 22 6 0 12 Apr 2019
Graph Wavelet Neural Network Bingbing Xu Huawei Shen Qi Cao Yunqi Qiu Xueqi Cheng GNN 28 327 0 12 Apr 2019
Topological based classification of paper domains using graph convolutional networks I. Benami Keren Cohen Oved Nagar Y. Louzoun GNN 22 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 17 149 0 10 Apr 2019
Adaptively Connected Neural Networks Guangrun Wang Keze Wang Liang Lin 26 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 6 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 18 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 27 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 53 10 0 01 Apr 2019
Learning Combinatorial Embedding Networks for Deep Graph Matching Runzhong Wang Junchi Yan Xiaokang Yang 14 234 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 25 384 0 28 Mar 2019
Multimodal Deep Network Embedding with Integrated Structure and Attribute Information Conghui Zheng Li Pan Peng Wu 23 22 0 28 Mar 2019
Node Embedding over Temporal Graphs Uriel Singer Ido Guy Kira Radinsky 19 149 0 21 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 26 54 0 19 Mar 2019
Extrapolating paths with graph neural networks Jean-Baptiste Cordonnier Andreas Loukas GNN 7 17 0 18 Mar 2019
Learning Edge Properties in Graphs from Path Aggregations Rakshit Agrawal Luca de Alfaro GNN FedML 11 6 0 11 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 21 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 27 214 0 09 Mar 2019
Multi-Hot Compact Network Embedding Chaozhuo Li Senzhang Wang Philip S. Yu Zhoujun Li 14 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 24 14 0 06 Mar 2019
Empirical effect of graph embeddings on fraud detection/ risk mitigation Sida Zhou 22 2 0 05 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding Zhaocheng Zhu Shizhen Xu Meng Qu Jian Tang GNN 19 112 0 02 Mar 2019