v1v2v3v4 (latest)

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

9 October 2017

J. Qiu

Yuxiao Dong

Hao Ma

Papers citing "Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec"

49 / 249 papers shown

Title
NetSMF: Large-Scale Network Embedding as Sparse Matrix FactorizationThe Web Conference (WWW), 2019 J. Qiu Yuxiao Dong Hao Ma Jun Yu Li Chi Wang Kuansan Wang Jie Tang 75 176 0 26 Jun 2019
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRankProceedings of the VLDB Endowment (PVLDB), 2019 Renchi Yang Jieming Shi Xiaokui Xiao Yifan Yang S. Bhowmick 295 72 0 17 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 94 21 0 13 Jun 2019
Is a Single Vector Enough? Exploring Node Polysemy for Network EmbeddingKnowledge Discovery and Data Mining (KDD), 2019 Ninghao Liu Qiaoyu Tan Yuening Li Hongxia Yang Jingren Zhou Helen Zhou 112 87 0 25 May 2019
GLEE: Geometric Laplacian Eigenmap Embedding Leo Torres Kevin S. Chan Tina Eliassi-Rad 55 27 0 23 May 2019
Scalable Graph Embeddings via Sparse Transpose ProximitiesKnowledge Discovery and Data Mining (KDD), 2019 Yuan Yin Zhewei Wei 93 58 0 16 May 2019
Language in Our Time: An Empirical Analysis of HashtagsThe Web Conference (WWW), 2019 Yang Zhang 119 27 0 11 May 2019
Representation Learning for Attributed Multiplex Heterogeneous NetworkKnowledge Discovery and Data Mining (KDD), 2019 Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou Jie Tang GNN 127 448 0 05 May 2019
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions Bo Kang Jefrey Lijffijt T. D. Bie 86 22 0 22 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Helen Zhou AI4TS GNN 84 110 0 18 Apr 2019
Compositional Network Embedding Tianshu Lyu Fei Sun Peng Jiang Wenwu Ou Yan Zhang 65 0 0 17 Apr 2019
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning Binxuan Huang Kathleen M. Carley GNN 99 8 0 17 Apr 2019
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity Yunsheng Bai Haoyang Ding Yang Qiao Agustin Marinovic Ken Gu Tingting Chen Luke Huan Wei Wang 174 10 0 01 Apr 2019
A Comparative Study for Unsupervised Network Representation LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 Megha Khosla Vinay Setty Avishek Anand SSL 150 57 0 19 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 114 35 0 11 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node EmbeddingThe Web Conference (WWW), 2019 Zhaocheng Zhu Shizhen Xu Meng Qu Jian Tang GNN 181 123 0 02 Mar 2019
Link Prediction with Mutual Attention for Text-Attributed NetworksThe Web Conference (WWW), 2019 Robin Brochier Adrien Guille Julien Velcin 88 13 0 28 Feb 2019
Global Vectors for Node RepresentationsThe Web Conference (WWW), 2019 Robin Brochier Adrien Guille Julien Velcin 55 56 0 28 Feb 2019
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Ziyao Li Liang Zhang Guojie Song 76 19 0 26 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Jialin Li Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 171 421 0 23 Feb 2019
Learning Vertex Representations for Bipartite Networks Ming Gao Xiangnan He Leihui Chen Tingting Liu Jinglin Zhang Aoying Zhou 84 24 0 16 Jan 2019
Search Efficient Binary Network Embedding Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang 66 4 0 14 Jan 2019
Efficient Representation Learning Using Random Walks for Dynamic Graphs Hooman Peiro Sajjad Andrew Docherty Y. Tyshetskiy 103 28 0 05 Jan 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 212 324 0 04 Jan 2019
Learning Dynamic Embeddings from Temporal Interactions Srijan Kumar Xikun Zhang J. Leskovec AI4TS 161 27 0 06 Dec 2018
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs Dimitris Berberidis G. Giannakis 177 19 0 27 Nov 2018
Streaming Network Embedding through Local Actions Xi Liu Ping-Chun Hsieh N. Duffield Rui Chen Muhe Xie Xidao Wen GNN 79 6 0 14 Nov 2018
SepNE: Bringing Separability to Network Embedding Ziyao Li Liang Zhang Guojie Song GNN 98 13 0 14 Nov 2018
Multi-View Network Embedding Via Graph Factorization Clustering and Co-Regularized Multi-View Agreement Yiwei Sun N. Bui Tsung-Yu Hsieh Vasant Honavar 51 18 0 06 Nov 2018
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation Jiankai Sun Bortik Bandyopadhyay Armin Bashizade Jiongqian Liang P. Sadayappan Srinivasan Parthasarathy 80 51 0 02 Nov 2018
Node Representation Learning for Directed Graphs Megha Khosla Jurek Leonhardt Wolfgang Nejdl Avishek Anand 128 59 0 22 Oct 2018
TNE: A Latent Model for Representation Learning on Networks Abdulkadir Çelikkanat Fragkiskos D. Malliaros 57 3 0 16 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 662 1,856 0 14 Oct 2018
Towards Deep and Representation Learning for Talent Search at LinkedIn R. Ramanath Hakan Inan Gungor Polatkan Bo Hu Qi Guo C. Ozcaglar Xianren Wu K. Kenthapadi S. Geyik 91 71 0 17 Sep 2018
Adversarial Attacks on Node Embeddings via Graph Poisoning Aleksandar Bojchevski Stephan Günnemann AAML 140 325 0 04 Sep 2018
Semi-supervised Learning on Graphs with Generative Adversarial Nets Ming Ding Jie Tang Jie Zhang GNN GAN 153 119 0 01 Sep 2018
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation Jundong Li Liang Wu Huan Liu 80 35 0 26 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Luke Huan Wei Wang GNN 175 362 0 16 Aug 2018
Efficient Training on Very Large Corpora via Gramian EstimationInternational Conference on Learning Representations (ICLR), 2018 Walid Krichene Nicolas Mayoraz Steffen Rendle Li Zhang Xinyang Yi Lichan Hong Ed H. Chi John R. Anderson 112 49 0 18 Jul 2018
DeepInf: Social Influence Prediction with Deep Learning J. Qiu Jian Tang Hao Ma Yuxiao Dong Kuansan Wang Jie Tang GNN AI4CE 162 581 0 15 Jul 2018
Spectral Network Embedding: A Fast and Scalable Method via Sparsity Jie Zhang Yan Wang Jie Tang Ming Ding GNN 56 5 0 07 Jun 2018
What the Vec? Towards Probabilistically Grounded Embeddings Carl Allen Ivana Balazevic Timothy M. Hospedales 149 25 0 30 May 2018
Billion-scale Network Embedding with Iterative Random Projection Ziwei Zhang Peng Cui Haoyang Li Tianlin Li Wenwu Zhu 221 85 0 07 May 2018
Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes T. K. Saha Thomas Williams M. Hasan Shafiq Joty Nicholas K. Varberg 118 9 0 16 Apr 2018
Link Prediction Based on Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2018 Muhan Zhang Yixin Chen GNN 332 2,153 0 27 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 125 7 0 15 Feb 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Lina Yao Chengqi Zhang GNN GAN 143 465 0 13 Feb 2018
The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration Yihan Gao Chao Zhang Jian-wei Peng Aditya G. Parameswaran 46 4 0 10 Feb 2018
Network Representation Learning: A Survey Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang GNN AI4TS 188 663 0 04 Dec 2017