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 / 190 papers shown

Title
InstantEmbedding: Efficient Local Node Representations Stefan Postavaru Anton Tsitsulin Filipe Almeida Yingtao Tian Silvio Lattanzi Bryan Perozzi 100 20 0 14 Oct 2020
Towards a Flexible Embedding Learning Framework Chin-Chia Michael Yeh Dhruv Gelda Zhongfang Zhuang Yan Zheng Liang Gou Wei Zhang 80 9 0 23 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs Santosh Pandey Lingda Li A. Hoisie Xin Li Hang Liu 65 62 0 18 Sep 2020
Contrastive Self-supervised Learning for Graph Classification Jiaqi Zeng P. Xie SSL 128 157 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 79 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 67 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 145 3 0 17 Jul 2020
Next Waves in Veridical Network Embedding Owen G. Ward Zhen Huang Andrew Davison Tian Zheng GNN 133 5 0 10 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 121 99 0 09 Jul 2020
Faster Graph Embeddings via Coarsening Matthew Fahrbach Gramoz Goranci Richard Peng Sushant Sachdeva Chi Wang 82 29 0 06 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 77 31 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 211 574 0 27 Jun 2020
Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems Yuanhang Yu Dong Wen Ying Zhang Xiaoyang Wang Wenjie Zhang Xuemin Lin 26 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 319 968 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 264 1,680 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 35 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 137 27 0 08 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 134 836 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 118 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 78 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 76 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 111 296 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 96 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 141 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 90 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 188 596 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 34 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 83 33 0 04 Dec 2019
Exponential Family Graph Embeddings Abdulkadir Çelikkanat Fragkiskos D. Malliaros 60 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 75 2 0 18 Nov 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 262 723 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 35 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 93 42 0 29 Sep 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 325 879 0 28 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit John Palowitch Bryan Perozzi 85 21 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 107 120 0 10 Sep 2019
Kernel Node Embeddings Abdulkadir Çelikkanat Fragkiskos D. Malliaros 41 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 92 113 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 92 0 30 Aug 2019
Initialization for Network Embedding: A Graph Partition Approach Wenqing Lin Feng He Faqiang Zhang Xu Cheng Hongyun Cai GNN 88 22 0 28 Aug 2019