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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 / 249 papers shown

Title
TigerLily: Finding drug interactions in silico with the Graph Benedek Rozemberczki GNN 80 0 0 18 Apr 2022
Finding MNEMON: Reviving Memories of Node EmbeddingsConference on Computer and Communications Security (CCS), 2022 Yun Shen Yufei Han Zhikun Zhang Min Chen Tingyue Yu Michael Backes Yang Zhang Gianluca Stringhini 115 14 0 14 Apr 2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph RepresentationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Nikolaos Nakis Abdulkadir Çelikkanat Sune Lehmann Morten Mørup 189 10 0 12 Apr 2022
Unsupervised Network Embedding Beyond Homophily Zhiqiang Zhong Guadalupe Gonzalez Daniele Grattarola Jun Pang OODD GNN 187 9 0 21 Mar 2022
GRAND+: Scalable Graph Random Neural NetworksThe Web Conference (WWW), 2022 Wenzheng Feng Yuxiao Dong Tinglin Huang Ziqi Yin Feng He Evgeny Kharlamov Jie Tang GNN 110 52 0 12 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2022 Hongya Wang Haoteng Yin Muhan Zhang Pan Li 418 122 0 01 Mar 2022
From Quantum Graph Computing to Quantum Graph Learning: A Survey Yehui Tang Junchi Yan Hancock Edwin GNN 146 11 0 19 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein ReconstructionInternational Conference on Learning Representations (ICLR), 2022 Mingyue Tang Carl Yang Pan Li GNN AI4CE 118 63 0 18 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate ReductionThe Web Conference (WWW), 2022 Xiaotian Han Zhimeng Jiang Ninghao Liu Qingquan Song Jundong Li Helen Zhou 101 23 0 13 Feb 2022
GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs Ciwan Ceylan Petra Poklukar Hanna Hultin Alexander Kravchenko Anastasia Varava Danica Kragic 125 1 0 08 Feb 2022
Learning Stance Embeddings from Signed Social GraphsWeb Search and Data Mining (WSDM), 2022 John N. Pougué-Biyong A. Gupta A. Haghighi Ahmed El-Kishky 149 20 0 27 Jan 2022
Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization B. Liu D. Papadopoulos Fragkiskos D. Malliaros Grigorios Tsoumakas A. Papadopoulos 124 10 0 24 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck PerspectiveIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 86 9 0 21 Jan 2022
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community LabelingSDM (SDM), 2022 Andrew Stolman Caleb C. Levy C. Seshadhri Aneesh Sharma GNN 102 12 0 20 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 213 0 0 05 Jan 2022
PerCQA: Persian Community Question Answering DatasetInternational Conference on Language Resources and Evaluation (LREC), 2021 Naghme Jamali Yadollah Yaghoobzadeh H. Faili 59 11 0 25 Dec 2021
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 50 1 0 02 Dec 2021
Network representation learning: A macro and micro viewAI Open (AO), 2021 Xueyi Liu Jie Tang GNN AI4TS 134 27 0 21 Nov 2021
Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks Archit Parnami Mayur Deshpande Anant Kumar Mishra Minwoo Lee 54 0 0 17 Nov 2021
Implicit SVD for Graph Representation LearningNeural Information Processing Systems (NeurIPS), 2021 Sami Abu-El-Haija Hesham Mostafa Marcel Nassar V. Crespi Greg Ver Steeg Aram Galstyan 137 6 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 105 33 0 10 Nov 2021
Inferential SIR-GN: Scalable Graph Representation Learning Janet Layne Edoardo Serra GNN 169 10 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 102 58 0 08 Nov 2021
Exact Representation of Sparse Networks with Symmetric Nonnegative EmbeddingsNeural Information Processing Systems (NeurIPS), 2021 Sudhanshu Chanpuriya Ryan A. Rossi Anup B. Rao Tung Mai Nedim Lipka Zhao Song Cameron Musco 128 5 0 04 Nov 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination TherapyInternational Conference on Information and Knowledge Management (CIKM), 2021 Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 175 19 0 28 Oct 2021
A Broader Picture of Random-walk Based Graph EmbeddingKnowledge Discovery and Data Mining (KDD), 2021 Zexi Huang A. Silva Ambuj K. Singh 136 57 0 24 Oct 2021
Residual2Vec: Debiasing graph embedding with random graphs Sadamori Kojaku Jisung Yoon I. Constantino Yong-Yeol Ahn CML 129 24 0 14 Oct 2021
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding Jingya Zhou Ling Liu Wenqi Wei Jianxi Fan AI4TS 154 90 0 14 Oct 2021
Perceived and Intended Sarcasm Detection with Graph Attention Networks Joan Plepi Lucie Flek 102 24 0 08 Oct 2021
Social Recommendation with Self-Supervised Metagraph Informax NetworkInternational Conference on Information and Knowledge Management (CIKM), 2021 Xiaoling Long Chao Huang Yong-mei Xu Huance Xu Peng Dai Lianghao Xia Liefeng Bo 162 102 0 08 Oct 2021
Latent Network Embedding via Adversarial Auto-encoders Minglong Lei Yong Shi Lingfeng Niu GNN 56 0 0 30 Sep 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 226 28 0 20 Sep 2021
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node EmbeddingsIEEE Transactions on Network Science and Engineering (TNSE), 2021 Christy Lin D. Sussman Prakash Ishwar 115 5 0 09 Sep 2021
QUINT: Node embedding using network hashingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Debajyoti Bera Rameshwar Pratap Bhisham Dev Verma Biswadeep Sen Tanmoy Chakraborty GNN 137 4 0 09 Sep 2021
REFINE: Random RangE FInder for Network EmbeddingInternational Conference on Information and Knowledge Management (CIKM), 2021 Hao Zhu Piotr Koniusz 140 23 0 24 Aug 2021
Temporal Network Embedding via Tensor FactorizationInternational Conference on Information and Knowledge Management (CIKM), 2021 Jing Ma Qiuchen Zhang Jian Lou Li Xiong Joyce C. Ho AI4TS 133 9 0 22 Aug 2021
Semi-supervised Network Embedding with Differentiable Deep Quantisation Tao He Lianli Gao Jingkuan Song Yuan-Fang Li 175 6 0 20 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural NetworksACM Computing Surveys (CSUR), 2021 Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 357 30 0 21 Jul 2021
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings Dominik Kloepfer Angelica I. Aviles-Rivero Daniel Heydecker 68 3 0 21 Jul 2021
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis Yanqiao Zhu Hejie Cui Lifang He Lichao Sun Carl Yang 82 48 0 07 Jul 2021
Multi-Level Graph Contrastive Learning Pengpeng Shao Tong Liu Dawei Zhang Jianhua Tao Feihu Che Guohua Yang 149 10 0 06 Jul 2021
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data Dongqi Fu Jingrui He 268 32 0 05 Jul 2021
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction Xi Chen Bo Kang Jefrey Lijffijt T. D. Bie AAML 95 2 0 05 Jul 2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs Hejie Cui Zijie Lu Pan Li Carl Yang 133 93 0 03 Jul 2021
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective Binghui Wang Jiayi Guo Ang Li Yiran Chen Xue Yang SSL 95 40 0 03 Jul 2021
Large-Scale Network Embedding in Apache SparkKnowledge Discovery and Data Mining (KDD), 2021 Wenqing Lin GNN 137 21 0 20 Jun 2021
Evaluating Modules in Graph Contrastive Learning Ganqu Cui Y. Du Cheng Yang Jie Zhou Liang Xu Xing Zhou Lifeng Wang Zhiyuan Liu 81 4 0 15 Jun 2021
Graph Domain Adaptation: A Generative ViewACM Transactions on Knowledge Discovery from Data (TKDD), 2021 Ruichu Cai Fengzhu Wu Zijian Li Pengfei Wei Lingling Yi Kun Zhang OOD 91 48 0 14 Jun 2021
Learning Based Proximity Matrix Factorization for Node EmbeddingKnowledge Discovery and Data Mining (KDD), 2021 Xingyi Zhang Kun Xie Sibo Wang Zengfeng Huang GNN 142 31 0 10 Jun 2021
Multiple Kernel Representation Learning on NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Abdulkadir Çelikkanat Yanning Shen Fragkiskos D. Malliaros 164 6 0 09 Jun 2021