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"

50 / 187 papers shown

Title
Contrastive Self-supervised Learning for Graph Classification Jiaqi Zeng P. Xie SSL 125 156 0 13 Sep 2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations Sebastian Mežnar Nada Lavrac Blaž Škrlj 103 5 0 08 Sep 2020
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Shu Wu Liang Wang SSL GNN 76 29 0 03 Sep 2020
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification Rahul Ragesh Sundararajan Sellamanickam Arun Shankar Iyer Ramakrishna Bairi Vijay Lingam GNN 65 83 0 19 Aug 2020
Adversarial Directed Graph Embedding Shijie Zhu Jianxin Li Hao Peng Senzhang Wang Lifang He GAN GNN 101 45 0 09 Aug 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 142 3 0 17 Jul 2020
Next Waves in Veridical Network Embedding Owen G. Ward Zhen Huang Andrew Davison Tian Zheng GNN 131 5 0 10 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 121 93 0 09 Jul 2020
Faster Graph Embeddings via Coarsening Matthew Fahrbach Gramoz Goranci Richard Peng Sushant Sachdeva Chi Wang 82 28 0 06 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 77 30 0 03 Jul 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 211 567 0 27 Jun 2020
Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems Yuanhang Yu Dong Wen Ying Zhang Xiaoyang Wang Wenjie Zhang Xuemin Lin 21 6 0 24 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 316 963 0 17 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 259 1,655 0 15 Jun 2020
Node Embeddings and Exact Low-Rank Representations of Complex Networks Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis BDL 305 34 0 10 Jun 2020
FREDE: Anytime Graph Embeddings Anton Tsitsulin Marina Munkhoeva Davide Mottin Panagiotis Karras Ivan Oseledets Emmanuel Müller 117 34 0 08 Jun 2020
Propositionalization and Embeddings: Two Sides of the Same Coin Nada Lavrac Blaž Škrlj Marko Robnik-Šikonja 135 26 0 08 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 125 824 0 07 Jun 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 130 7 0 02 Jun 2020
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity Sudhanshu Chanpuriya Cameron Musco 115 28 0 29 May 2020
Blockchain is Watching You: Profiling and Deanonymizing Ethereum Users Ferenc Béres István András Seres András A. Benczúr Mikerah Quintyne-Collins 87 76 0 28 May 2020
The Effects of Randomness on the Stability of Node Embeddings Tobias Schumacher Hinrikus Wolf Martin Ritzert Florian Lemmerich Jan Bachmann Florian Frantzen Max Klabunde Martin Grohe M. Strohmaier 84 21 0 20 May 2020
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding Xiyuan Chen Mark Heimann Fatemeh Vahedian Danai Koutra 3DPC 72 5 0 10 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 109 291 0 07 May 2020
PushNet: Efficient and Adaptive Neural Message Passing Julian Busch Jiaxing Pi T. Seidl GNN 106 12 0 04 Mar 2020
Learning to Hash with Graph Neural Networks for Recommender Systems Qiaoyu Tan Ninghao Liu Xing Zhao Hongxia Yang Jingren Zhou Helen Zhou 168 94 0 04 Mar 2020
Self-Supervised Graph Representation Learning via Global Context Prediction Zhen Peng Yixiang Dong Minnan Luo Xiao-Ming Wu Q. Zheng SSL 137 65 0 03 Mar 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies Wei Jin Yaxin Li Han Xu Yiqi Wang Shuiwang Ji Charu C. Aggarwal Jiliang Tang AAML GNN 138 103 0 02 Mar 2020
The Spectral Underpinning of word2vec Ariel Jaffe Y. Kluger Ofir Lindenbaum J. Patsenker Erez Peterfreund Stefan Steinerberger 76 8 0 27 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction Felix L. Opolka Pietro Lio GNN 81 15 0 11 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 178 588 0 04 Feb 2020
ExEm: Expert Embedding using dominating set theory with deep learning approaches Narjes Nikzad Khasmakhi M. Balafar M. Feizi-Derakhshi C. Motamed 75 19 0 16 Jan 2020
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection A. Lutov Dingqi Yang Philippe Cudré-Mauroux 32 7 0 17 Dec 2019
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning Shuai Zheng Zhenfeng Zhu Xingxing Zhang Zhizhe Liu Jian Cheng Yao-Min Zhao OOD GAN 76 33 0 04 Dec 2019
Exponential Family Graph Embeddings Abdulkadir Çelikkanat Fragkiskos D. Malliaros 55 13 0 20 Nov 2019
RWNE: A Scalable Random-Walk-Based Network Embedding Framework with Personalized Higher-Order Proximity Preserved Jianxin Li Cheng Ji Hao Peng Yu He Yangqiu Song Xinmiao Zhang Fanzhang Peng 67 2 0 18 Nov 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 247 720 0 28 Oct 2019
Network2Vec Learning Node Representation Based on Space Mapping in Networks Zhenhua Huang Zhenyu Wang Rui Zhang Yangyang Zhao Xiaohui Xie S. Mehrotra 30 1 0 23 Oct 2019
Learning Robust Representations with Graph Denoising Policy Network Lu Wang Wenchao Yu Wei Wang Wei Cheng Wei Zhang H. Zha Xiaofeng He Haifeng Chen OOD 62 27 0 04 Oct 2019
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights Carl Yang Yichen Feng Pan Li Yu Shi Jiawei Han 83 42 0 29 Sep 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 314 869 0 28 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit John Palowitch Bryan Perozzi 85 20 0 25 Sep 2019
Temporal Network Embedding with Micro- and Macro-dynamics Yuanfu Lu Tianlin Li C. Shi Philip S. Yu Yanfang Ye AI4TS AI4CE 104 120 0 10 Sep 2019
Kernel Node Embeddings Abdulkadir Çelikkanat Fragkiskos D. Malliaros 38 2 0 08 Sep 2019
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding Yu He Yangqiu Song Jianxin Li Cheng Ji Jian Peng Hao Peng 89 112 0 07 Sep 2019
Fast and Accurate Network Embeddings via Very Sparse Random Projection Haochen Chen Syed Fahad Sultan Yingtao Tian Muhao Chen Steven Skiena 67 91 0 30 Aug 2019
Initialization for Network Embedding: A Graph Partition Approach Wenqing Lin Feng He Faqiang Zhang Xu Cheng Hongyun Cai GNN 74 22 0 28 Aug 2019
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 75 38 0 22 Aug 2019
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models Heng Chang Yu Rong Tingyang Xu Wenbing Huang Honglei Zhang Peng Cui Wenwu Zhu Junzhou Huang AAML 109 155 0 04 Aug 2019
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks Srijan Kumar Xikun Zhang J. Leskovec AI4TS 101 751 0 03 Aug 2019