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
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 79 4 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 133 19 0 28 Oct 2021
A Broader Picture of Random-walk Based Graph Embedding Zexi Huang A. Silva Ambuj K. Singh 71 52 0 24 Oct 2021
Residual2Vec: Debiasing graph embedding with random graphs Sadamori Kojaku Jisung Yoon I. Constantino Yong-Yeol Ahn CML 83 23 0 14 Oct 2021
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding Jingya Zhou Ling Liu Wenqi Wei Jianxi Fan AI4TS 104 77 0 14 Oct 2021
Perceived and Intended Sarcasm Detection with Graph Attention Networks Joan Plepi Lucie Flek 82 24 0 08 Oct 2021
Social Recommendation with Self-Supervised Metagraph Informax Network Xiaoling Long Chao Huang Yong-mei Xu Huance Xu Peng Dai Lianghao Xia Liefeng Bo 122 91 0 08 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 123 25 0 20 Sep 2021
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings Christy Lin D. Sussman Prakash Ishwar 51 5 0 09 Sep 2021
QUINT: Node embedding using network hashing Debajyoti Bera Rameshwar Pratap Bhisham Dev Verma Biswadeep Sen Tanmoy Chakraborty GNN 72 3 0 09 Sep 2021
REFINE: Random RangE FInder for Network Embedding Hao Zhu Piotr Koniusz 94 22 0 24 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 194 21 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 51 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 66 38 0 07 Jul 2021
Multi-Level Graph Contrastive Learning Pengpeng Shao Tong Liu Dawei Zhang J. Tao Feihu Che Guohua Yang 79 9 0 06 Jul 2021
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction Xi Chen Bo Kang Jefrey Lijffijt T. D. Bie AAML 56 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 90 86 0 03 Jul 2021
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective Binghui Wang Jiayi Guo Ang Li Yiran Chen H. Li SSL 67 38 0 03 Jul 2021
Large-Scale Network Embedding in Apache Spark Wenqing Lin GNN 69 18 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 73 4 0 15 Jun 2021
Multiple Kernel Representation Learning on Networks Abdulkadir Çelikkanat Yanning Shen Fragkiskos D. Malliaros 98 5 0 09 Jun 2021
Matrix factorisation and the interpretation of geodesic distance N. Whiteley Annie Gray Patrick Rubin-Delanchy 87 10 0 02 Jun 2021
Hashing-Accelerated Graph Neural Networks for Link Prediction Wei Wu Bin Li Chuan Luo Wolfgang Nejdl GNN 51 42 0 29 May 2021
An Impossibility Theorem for Node Embedding T. Roddenberry Yu Zhu Santiago Segarra 67 0 0 27 May 2021
A Robust and Generalized Framework for Adversarial Graph Embedding Jianxin Li Xingcheng Fu Hao Peng Senzhang Wang Shijie Zhu Qingyun Sun Philip S. Yu Lifang He 56 16 0 22 May 2021
A Graph Neural Network Approach for Product Relationship Prediction Faez Ahmed Yaxin Cui Yan Fu Wei Chen GNN 60 7 0 12 May 2021
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations Ying Lin H. Wang Jiangning Chen Tong Wang Yue Liu Heng Ji Yang Liu Premkumar Natarajan 73 10 0 06 Apr 2021
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning Tong Chen Hongzhi Yin Jie Ren Zi Huang Xiangliang Zhang Hao Wang 46 4 0 04 Apr 2021
Adversarial Graph Disentanglement Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao 83 10 0 12 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 140 110 0 08 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Xiwei Xu GNN 68 28 0 07 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 150 17 0 01 Mar 2021
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding Jing Zhu Xingyu Lu Mark Heimann Danai Koutra 137 24 0 26 Feb 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 166 210 0 26 Feb 2021
Link Prediction with Persistent Homology: An Interactive View Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Chao Chen 74 50 0 20 Feb 2021
DeepWalking Backwards: From Embeddings Back to Graphs Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis GNN 80 13 0 17 Feb 2021
Adversarial Attack on Network Embeddings via Supervised Network Poisoning Viresh Gupta Tanmoy Chakraborty AAML 74 12 0 14 Feb 2021
COLOGNE: Coordinated Local Graph Neighborhood Sampling Konstantin Kutzkov 36 0 0 09 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 115 7 0 27 Jan 2021
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings Benedek Rozemberczki Rik Sarkar 218 71 0 08 Jan 2021
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks Xiang Li Danhao Ding B. Kao Yizhou Sun N. Mamoulis 167 49 0 18 Dec 2020
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding Xuhong Wang Ding Lyu Mengjian Li Yang Xia Qi Yang ... Xinguang Wang Ping Cui Yupu Yang Bowen Sun Zhenyu Guo GNN 146 147 0 23 Nov 2020
Toward Edge-Centric Network Embeddings G. Pirrò GNN 40 0 0 11 Nov 2020
GAGE: Geometry Preserving Attributed Graph Embeddings Charilaos I. Kanatsoulis N. Sidiropoulos 41 2 0 03 Nov 2020
All of the Fairness for Edge Prediction with Optimal Transport Charlotte Laclau I. Redko Manvi Choudhary C. Largeron FaML 66 43 0 30 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 176 1,130 0 27 Oct 2020
Line Graph Neural Networks for Link Prediction Lei Cai Jundong Li Jie Wang Shuiwang Ji GNN 215 205 0 20 Oct 2020
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 75 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