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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 / 250 papers shown

Title
Structured Information Loss in Network Embeddings Gabriel Chuang Augustin Chaintreau GNN 80 0 0 15 Sep 2025
MSRFormer: Road Network Representation Learning using Multi-scale Feature Fusion of Heterogeneous Spatial Interactions Jian Yang J. Wu Li Fang Hongchao Fan Bianying Zhang Huijie Zhao Guangyi Yang Rui Xin Xiong You 40 0 0 06 Sep 2025
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification Tuan-Anh Yang Truong-Son Hy Phuong D. Dao 180 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 195 0 0 21 Feb 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs He Yu Qingbin Liu 174 0 0 21 Jan 2025
Structure-Preference Enabled Graph Embedding Generation under Differential PrivacyIEEE International Conference on Data Engineering (ICDE), 2025 Sen Zhang Qingqing Ye Haibo Hu 170 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 Truong Do Truong Do Truong-Son Hy 3DPC 308 2 0 15 Nov 2024
How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method Yu Tai Xinglong Wu Hongwei Yang Hui He Duanjing Chen Yuanming Shao Weizhe Zhang 132 0 0 01 Nov 2024
Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi Andre' Panisson Megha Khosla 203 0 0 28 Oct 2024
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction Haoxin Liu 46 0 0 26 Oct 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2024 Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 277 7 0 08 Jun 2024
Graphlets correct for the topological information missed by random walks Sam F. L. Windels N. Malod-Dognin Nataša Pržulj 72 0 0 23 May 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 65 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 151 10 0 23 Feb 2024
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity Zhihao Zhu Chenwang Wu Rui Fan Yi Yang Defu Lian Enhong Chen AAML 127 0 0 18 Dec 2023
On the Role of Edge Dependency in Graph Generative Models Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis 132 1 0 06 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 84 1 0 18 Nov 2023
How Graph Neural Networks Learn: Lessons from Training DynamicsInternational Conference on Machine Learning (ICML), 2023 Chenxiao Yang Qitian Wu David Wipf Ruoyu Sun Junchi Yan AI4CE GNN 280 2 0 08 Oct 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted NetworksAdvances in Complex Systems (ACS), 2023 Nikolaos Nakis Abdulkadir Çelikkanat Morten Mørup 87 0 0 29 Aug 2023
HUGE: Huge Unsupervised Graph Embeddings with TPUsKnowledge Discovery and Data Mining (KDD), 2023 Brandon Mayer Anton Tsitsulin Hendrik Fichtenberger Jonathan J. Halcrow Bryan Perozzi GNN 94 2 0 26 Jul 2023
Collaborative Graph Neural Networks for Attributed Network EmbeddingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Helen Zhou 206 18 0 22 Jul 2023
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to MillisecondsKnowledge Discovery and Data Mining (KDD), 2023 Haoran Deng Yang Yang Jiahe Li Haoyang Cai Shi Pu Weihao Jiang 144 7 0 15 Jun 2023
Randomized Schur Complement Views for Graph Contrastive LearningInternational Conference on Machine Learning (ICML), 2023 Vignesh Kothapalli 215 2 0 06 Jun 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 158 3 0 23 May 2023
Semantic Random Walk for Graph Representation Learning in Attributed Graphs Meng Qin 50 1 0 11 May 2023
Counterfactual Learning on Graphs: A SurveyMachine Intelligence Research (MIR), 2023 Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 289 24 0 03 Apr 2023
Distributed Graph Embedding with Information-Oriented Random WalksProceedings of the VLDB Endowment (PVLDB), 2023 Peng Fang Arijit Khan Siqiang Luo Fang Wang Dan Feng Zhenli Li Wei Yin Yu Cao GNN 139 13 0 28 Mar 2023
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity AlignmentIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Meng Liu K. Liang Bin Xiao Wenxuan Tu Sihang Zhou Xihong Yang Xinwang Liu Yue Liu 188 95 0 15 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 176 35 0 11 Feb 2023
Spectral Augmentations for Graph Contrastive LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Amur Ghose Yingxue Zhang Jianye Hao Mark Coates 128 12 0 06 Feb 2023
Trace Encoding in Process Mining: a survey and benchmarkingEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023 Sylvio Barbon Junior Paolo Ceravolo R. Oyamada G. Tavares AI4TS 133 28 0 05 Jan 2023
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised ClassificationEngineering applications of artificial intelligence (EAAI), 2022 Jun-Liang Lin Yuan Wan Jingwen Xu X. Qi 171 1 0 04 Dec 2022
FairMILE: Towards an Efficient Framework for Fair Graph Representation LearningConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2022 Yuntian He Saket Gurukar Srinivas Parthasarathy FaML 360 6 0 17 Nov 2022
Graph Summarization via Node Grouping: A Spectral AlgorithmWeb Search and Data Mining (WSDM), 2022 Arpit Merchant M. Mathioudakis Yanhao Wang 79 5 0 08 Nov 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning Tiantian He Haicang Zhou Yew-Soon Ong Gao Cong GNN 186 6 0 14 Oct 2022
Direct Embedding of Temporal Network Edges via Time-Decayed Line GraphsInternational Conference on Learning Representations (ICLR), 2022 Sudhanshu Chanpuriya Ryan Rossi Sungchul Kim Tong Yu Jane Hoffswell Nedim Lipka Shunan Guo Cameron Musco AI4TS 185 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 84 2 0 29 Sep 2022
A Systematic Evaluation of Node Embedding RobustnessLOG IN (LOG IN), 2022 Alexandru Mara Jefrey Lijffijt Stephan Günnemann T. D. Bie AAML 98 1 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 74 0 0 15 Sep 2022
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddingsJournal of Applied and Computational Topology (JACT), 2022 Disha Shur Yufan Huang D. Gleich 108 1 0 22 Jul 2022
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs Ciwan Ceylan Kambiz Ghoorchian Danica Kragic 82 1 0 20 Jul 2022
Simplifying Clustering with Graph Neural Networks F. Bianchi 98 12 0 18 Jul 2022
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training Xueyi Liu Yu Rong Qifeng Bai Gang Hua Wen-bing Huang Junzhou Huang 50 0 0 23 Jun 2022
Affinity-Aware Graph NetworksNeural Information Processing Systems (NeurIPS), 2022 A. Velingker A. Sinop Ira Ktena Petar Velickovic Sreenivas Gollapudi GNN 152 19 0 23 Jun 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link PredictionNeural Information Processing Systems (NeurIPS), 2022 Seongjun Yun Seoyoon Kim Junhyun Lee Jaewoo Kang Hyunwoo J. Kim GNN 121 145 0 09 Jun 2022
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks Xiao Han Leye Wang Junjie Wu Yuncong Yang 90 4 0 28 May 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding MethodsNeural Information Processing Systems (NeurIPS), 2022 Randall Balestriero Yann LeCun SSL 230 151 0 23 May 2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at PinterestProceedings of the VLDB Endowment (PVLDB), 2022 Saket Gurukar Nikil Pancha Andrew Zhai Eric Kim Samson Hu Srinivas Parthasarathy Charles R. Rosenberg J. Leskovec 226 18 0 21 May 2022
Seed-Guided Topic Discovery with Out-of-Vocabulary SeedsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Yu Zhang Yu Meng Xuan Wang Sheng Wang Jiawei Han 272 15 0 04 May 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 203 5 0 18 Apr 2022