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 / 128 papers shown

Title
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification Tuan-Anh Yang Truong-Son Hy Phuong D. Dao 43 0 0 22 Feb 2025
Learning Graph Node Embeddings by Smooth Pair Sampling Konstantin Kutzkov 46 0 0 22 Jan 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs He Yu Jiaheng Liu 38 0 0 21 Jan 2025
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy Sen Zhang Qingqing Ye Haibo Hu 54 0 0 08 Jan 2025
Simplifying complex machine learning by linearly separable network embedding spaces Alexandros Xenos N. Malod-Dognin Natasa Przulj 35 0 0 02 Oct 2024
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs Vipul Gupta Xin Chen Ruoyun Huang Fanlong Meng Jianjun Chen Yujun Yan GNN 41 0 0 22 Jul 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs Elika Bozorgi Sakher Khalil Alqaiidi Afsaneh Shams H. Arabnia Krzysztof Kochut 39 0 0 11 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 46 2 0 08 Jun 2024
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures Tianyi Zhang Haoteng Yin Rongzhe Wei Pan Li Anshumali Shrivastava AI4CE 36 1 0 28 Dec 2023
DSCom: A Data-Driven Self-Adaptive Community-Based Framework for Influence Maximization in Social Networks Yuxin Zuo Haojia Sun Yongyi Hu Jianxiong Guo Xiaofeng Gao 22 1 0 18 Nov 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks Nikolaos Nakis Abdulkadir Çelikkanat Morten Mørup 36 0 0 29 Aug 2023
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds Haoran Deng Yang Yang Jiahe Li Haoyang Cai Shi Pu Weihao Jiang 43 5 0 15 Jun 2023
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness Hogun Park Jennifer Neville 14 4 0 24 Apr 2023
Distributed Graph Embedding with Information-Oriented Random Walks Peng Fang Arijit Khan Siqiang Luo Fang Wang Dan Feng Zhenli Li Wei Yin Yu Cao GNN 18 11 0 28 Mar 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 29 8 0 16 Feb 2023
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment Meng Liu K. Liang Bin Xiao Wenxuan Tu Sihang Zhou Xihong Yang Xinwang Liu Yue Liu 25 68 0 15 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 40 26 0 11 Feb 2023
Trace Encoding in Process Mining: a survey and benchmarking Sylvio Barbon Junior Paolo Ceravolo R. Oyamada G. Tavares AI4TS 33 20 0 05 Jan 2023
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification Jun-Liang Lin Yuan Wan Jingwen Xu X. Qi 33 0 0 04 Dec 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 38 12 0 11 Nov 2022
Graph Summarization via Node Grouping: A Spectral Algorithm Arpit Merchant M. Mathioudakis Yanhao Wang 14 2 0 08 Nov 2022
A Systematic Evaluation of Node Embedding Robustness Alexandru Mara Jefrey Lijffijt Stephan Günnemann T. D. Bie AAML 22 0 0 16 Sep 2022
Associative Learning for Network Embedding Yuchen Liang Dmitry Krotov Mohammed J. Zaki 12 0 0 30 Aug 2022
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings Disha Shur Yufan Huang D. Gleich 24 1 0 22 Jul 2022
Simplifying Clustering with Graph Neural Networks F. Bianchi 27 10 0 18 Jul 2022
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks Xiao Han Leye Wang Junjie Wu Yuncong Yang 18 4 0 28 May 2022
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds Yu Zhang Yu Meng Xuan Wang Sheng Wang Jiawei Han 68 14 0 04 May 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 29 4 0 18 Apr 2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations Nikolaos Nakis Abdulkadir Çelikkanat Sune Lehmann Morten Mørup 28 7 0 12 Apr 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 46 108 0 01 Mar 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 46 55 0 18 Feb 2022
Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization B. Liu D. Papadopoulos Fragkiskos D. Malliaros Grigorios Tsoumakas A. Papadopoulos 19 7 0 24 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 23 5 0 21 Jan 2022
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling Andrew Stolman Caleb C. Levy C. Seshadhri Aneesh Sharma GNN 16 11 0 20 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 33 0 0 05 Jan 2022
Learning Large-scale Network Embedding from Representative Subgraph Junsheng Kong Weizhao Li Ben Liao J. Qiu Chang-Yu Hsieh Hsieh Yijin Cai Jin-Hui Zhu Shengyu Zhang GNN 21 1 0 02 Dec 2021
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors Zihan Yan Li Liu Xin Li William K. Cheung Youmin Zhang Qun Liu Guoyin Wang 24 7 0 22 Nov 2021
Implicit SVD for Graph Representation Learning Sami Abu-El-Haija Hesham Mostafa Marcel Nassar V. Crespi Greg Ver Steeg Aram Galstyan 45 5 0 11 Nov 2021
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction Amur Ghose Vincent Zhang Yingxue Zhang Dong Li Wulong Liu Mark Coates 48 27 0 10 Nov 2021
Inferential SIR-GN: Scalable Graph Representation Learning Janet Layne Edoardo Serra GNN 21 9 0 08 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng Xu Zou Yuxiao Dong Yukuo Cen Da Yin Jiarong Xu Yang Yang Jie Tang OOD AAML 30 50 0 08 Nov 2021
High-order joint embedding for multi-level link prediction Yubai Yuan Annie Qu 11 2 0 07 Nov 2021
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings Sudhanshu Chanpuriya Ryan A. Rossi Anup B. Rao Tung Mai Nedim Lipka Zhao Song Cameron Musco 38 4 0 04 Nov 2021
Community detection using low-dimensional network embedding algorithms Aman Barot S. Bhamidi Souvik Dhara 20 8 0 04 Nov 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 23 19 0 28 Oct 2021
A Broader Picture of Random-walk Based Graph Embedding Zexi Huang A. Silva Ambuj K. Singh 21 49 0 24 Oct 2021
Residual2Vec: Debiasing graph embedding with random graphs Sadamori Kojaku Jisung Yoon I. Constantino Yong-Yeol Ahn CML 45 23 0 14 Oct 2021
Perceived and Intended Sarcasm Detection with Graph Attention Networks Joan Plepi Lucie Flek 21 23 0 08 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 46 22 0 20 Sep 2021
REFINE: Random RangE FInder for Network Embedding Hao Zhu Piotr Koniusz 35 22 0 24 Aug 2021