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
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification Tuan-Anh Yang Truong-Son Hy Phuong D. Dao 85 0 0 22 Feb 2025
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators N. Gabriel N. Johnson George Em Karniadakis AI4CE 129 0 0 21 Feb 2025
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy Sen Zhang Qingqing Ye Haibo Hu 102 0 0 08 Jan 2025
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding Quang P.M. Pham Khoi T.N. Nguyen Lan C. Ngo Dezhen Song Truong Do Truong-Son Hy 3DPC 143 2 0 15 Nov 2024
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction Haoxin Liu 34 0 0 26 Oct 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 136 2 0 08 Jun 2024
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model Nikolaos Nakis Abdulkadir Çelikkanat Louis Boucherie Sune Lehmann Morten Morup 40 0 0 28 Feb 2024
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application Jingtao Ding Chang Liu Y. Zheng Yunke Zhang Zihan Yu ... Hongyi Chen J. Piao Huandong Wang Jiazhen Liu Yong Li AI4CE 93 12 0 23 Feb 2024
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 58 1 0 18 Nov 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics Chenxiao Yang Qitian Wu David Wipf Ruoyu Sun Junchi Yan AI4CE GNN 76 1 0 08 Oct 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks Nikolaos Nakis Abdulkadir Çelikkanat Morten Mørup 48 0 0 29 Aug 2023
Randomized Schur Complement Views for Graph Contrastive Learning Vignesh Kothapalli 133 2 0 06 Jun 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 110 72 0 15 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 116 29 0 11 Feb 2023
Trace Encoding in Process Mining: a survey and benchmarking Sylvio Barbon Junior Paolo Ceravolo R. Oyamada G. Tavares AI4TS 85 21 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 127 0 0 04 Dec 2022
Graph Summarization via Node Grouping: A Spectral Algorithm Arpit Merchant M. Mathioudakis Yanhao Wang 47 3 0 08 Nov 2022
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs Sudhanshu Chanpuriya Ryan Rossi Sungchul Kim Tong Yu Jane Hoffswell Nedim Lipka Shunan Guo Cameron Musco AI4TS 134 10 0 30 Sep 2022
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs Meng Qin Chao Zhang Bo Bai Gong Zhang Dit-Yan Yeung 68 2 0 29 Sep 2022
A Systematic Evaluation of Node Embedding Robustness Alexandru Mara Jefrey Lijffijt Stephan Günnemann T. D. Bie AAML 78 0 0 16 Sep 2022
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks Simiao Zuo Haoming Jiang Qingyu Yin Xianfeng Tang Bing Yin Tuo Zhao 63 0 0 15 Sep 2022
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings Disha Shur Yufan Huang D. Gleich 65 1 0 22 Jul 2022
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs Ciwan Ceylan Kambiz Ghoorchian Danica Kragic 49 1 0 20 Jul 2022
Simplifying Clustering with Graph Neural Networks F. Bianchi 74 11 0 18 Jul 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction Seongjun Yun Seoyoon Kim Junhyun Lee Jaewoo Kang Hyunwoo J. Kim GNN 89 121 0 09 Jun 2022
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks Xiao Han Leye Wang Junjie Wu Yuncong Yang 72 4 0 28 May 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods Randall Balestriero Yann LeCun SSL 152 135 0 23 May 2022
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds Yu Zhang Yu Meng Xuan Wang Sheng Wang Jiawei Han 165 13 0 04 May 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 151 5 0 18 Apr 2022
TigerLily: Finding drug interactions in silico with the Graph Benedek Rozemberczki GNN 62 0 0 18 Apr 2022
Finding MNEMON: Reviving Memories of Node Embeddings Yun Shen Yufei Han Zhikun Zhang Min Chen Tingyue Yu Michael Backes Yang Zhang Gianluca Stringhini 63 14 0 14 Apr 2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations Nikolaos Nakis Abdulkadir Çelikkanat Sune Lehmann Morten Mørup 95 7 0 12 Apr 2022
Unsupervised Network Embedding Beyond Homophily Zhiqiang Zhong Guadalupe Gonzalez Daniele Grattarola Jun Pang OODD GNN 113 6 0 21 Mar 2022
GRAND+: Scalable Graph Random Neural Networks Wenzheng Feng Yuxiao Dong Tinglin Huang Ziqi Yin Xu Cheng Evgeny Kharlamov Jie Tang GNN 78 44 0 12 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 151 115 0 01 Mar 2022
From Quantum Graph Computing to Quantum Graph Learning: A Survey Yehui Tang Junchi Yan Hancock Edwin GNN 104 9 0 19 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 86 56 0 18 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction Xiaotian Han Zhimeng Jiang Ninghao Liu Qingquan Song Jundong Li Helen Zhou 70 21 0 13 Feb 2022
Learning Stance Embeddings from Signed Social Graphs John N. Pougué-Biyong A. Gupta A. Haghighi Ahmed El-Kishky 107 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 70 8 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 60 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 74 12 0 20 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 96 0 0 05 Jan 2022
PerCQA: Persian Community Question Answering Dataset Naghme Jamali Yadollah Yaghoobzadeh H. Faili 47 8 0 25 Dec 2021
Network representation learning: A macro and micro view Xueyi Liu Jie Tang GNN AI4TS 96 23 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 31 0 0 17 Nov 2021
Implicit SVD for Graph Representation Learning Sami Abu-El-Haija Hesham Mostafa Marcel Nassar V. Crespi Greg Ver Steeg Aram Galstyan 74 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 85 31 0 10 Nov 2021
Inferential SIR-GN: Scalable Graph Representation Learning Janet Layne Edoardo Serra GNN 134 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 84 51 0 08 Nov 2021