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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 / 253 papers shown

Title
Multiple Kernel Representation Learning on NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Abdulkadir Çelikkanat Yanning Shen Fragkiskos D. Malliaros 164 7 0 09 Jun 2021
Matrix factorisation and the interpretation of geodesic distanceNeural Information Processing Systems (NeurIPS), 2021 N. Whiteley Annie Gray Patrick Rubin-Delanchy 193 10 0 02 Jun 2021
Hashing-Accelerated Graph Neural Networks for Link PredictionThe Web Conference (WWW), 2021 Wei Wu Bin Li Chuan Luo Wolfgang Nejdl GNN 95 48 0 29 May 2021
An Impossibility Theorem for Node EmbeddingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 T. Roddenberry Yu Zhu Santiago Segarra 124 0 0 27 May 2021
A Robust and Generalized Framework for Adversarial Graph EmbeddingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Jianxin Li Xingcheng Fu Hao Peng Senzhang Wang Shijie Zhu Qingyun Sun Philip S. Yu Lifang He 76 18 0 22 May 2021
Free Energy Node Embedding via Generalized Skip-gram with Negative SamplingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Yu Zhu A. Swami Santiago Segarra 97 5 0 19 May 2021
A Graph Neural Network Approach for Product Relationship PredictionDesign Automation Conference (DAC), 2021 Faez Ahmed Yaxin Cui Yan Fu Wei Chen GNN 83 8 0 12 May 2021
Network Embedding via Deep Prediction ModelIEEE Transactions on Big Data (TBD), 2021 Changrui Chen Zenghui Song Yongbo Yu Junyu Dong Claudia Plant Christian Boehm GNN 95 4 0 27 Apr 2021
Permutation-Invariant Variational Autoencoder for Graph-Level Representation LearningNeural Information Processing Systems (NeurIPS), 2021 R. Winter Frank Noé Djork-Arné Clevert BDL SSL 95 34 0 20 Apr 2021
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations Ying Lin Huaimin Wang Jiangning Chen Tong Wang Yue Liu Heng Ji Yang Liu Premkumar Natarajan 100 10 0 06 Apr 2021
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Tong Chen Hongzhi Yin Jie Ren Zi Huang Xiangliang Zhang Hao Wang 64 4 0 04 Apr 2021
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs Sean Li Dongwoo Kim Qing Wang GNN 124 37 0 26 Mar 2021
Adversarial Graph DisentanglementIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021 Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao 188 10 0 12 Mar 2021
Size-Invariant Graph Representations for Graph Classification ExtrapolationsInternational Conference on Machine Learning (ICML), 2021 Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 242 117 0 08 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep LearningIEEE Access (IEEE Access), 2021 Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Xiwei Xu GNN 116 29 0 07 Mar 2021
CogDL: A Comprehensive Library for Graph Deep LearningThe Web Conference (WWW), 2021 Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 170 21 0 01 Mar 2021
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph EmbeddingSDM (SDM), 2021 Jing Zhu Xingyu Lu Mark Heimann Danai Koutra 177 24 0 26 Feb 2021
Graph-based Semi-supervised Learning: A Comprehensive ReviewIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Zixing Song Xiangli Yang Zenglin Xu Irwin King 228 248 0 26 Feb 2021
Link Prediction with Persistent Homology: An Interactive ViewInternational Conference on Machine Learning (ICML), 2021 Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Chao Chen 94 54 0 20 Feb 2021
DeepWalking Backwards: From Embeddings Back to GraphsInternational Conference on Machine Learning (ICML), 2021 Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis GNN 156 18 0 17 Feb 2021
Fast Graph Learning with Unique Optimal Solutions Sami Abu-El-Haija V. Crespi Greg Ver Steeg Aram Galstyan 200 0 0 17 Feb 2021
A Hidden Challenge of Link Prediction: Which Pairs to Check?Knowledge and Information Systems (KAIS), 2020 Caleb Belth Alican Büyükçakır Danai Koutra 88 3 0 15 Feb 2021
Adversarial Attack on Network Embeddings via Supervised Network PoisoningPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021 Viresh Gupta Tanmoy Chakraborty AAML 98 13 0 14 Feb 2021
COLOGNE: Coordinated Local Graph Neighborhood Sampling Konstantin Kutzkov 50 0 0 09 Feb 2021
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable LearningInternational Conference on Learning Representations (ICLR), 2021 Elan Markowitz Keshav Balasubramanian Mehrnoosh Mirtaheri Sami Abu-El-Haija Bryan Perozzi Greg Ver Steeg Aram Galstyan 79 23 0 08 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Prachi Agrawal Han Yang Yongqiang Chen James Cheng 187 7 0 27 Jan 2021
NEMR: Network Embedding on Metric of Relation Lu-Yao Xie Hong Shen Jiaxin Ren GNN 21 0 0 20 Jan 2021
Exact Recovery of Community Structures Using DeepWalk and Node2vec Yichi Zhang M. Tang 135 2 0 18 Jan 2021
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings Benedek Rozemberczki Rik Sarkar 297 80 0 08 Jan 2021
Leveraging Meta-path Contexts for Classification in Heterogeneous Information NetworksIEEE International Conference on Data Engineering (ICDE), 2020 Xiang Li Danhao Ding B. Kao Luke Huan N. Mamoulis 274 54 0 18 Dec 2020
From One to All: Learning to Match Heterogeneous and Partially Overlapped GraphsAAAI Conference on Artificial Intelligence (AAAI), 2020 Weijie Liu Hui Qian Chao Zhang Jiahao Xie Zebang Shen Nenggan Zheng 61 1 0 02 Dec 2020
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic GraphIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Yadan Luo Zi Huang Hongxu Chen Yang Yang Mahsa Baktash 156 13 0 25 Nov 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 300 178 0 23 Nov 2020
Toward Edge-Centric Network Embeddings G. Pirrò GNN 57 0 0 11 Nov 2020
GAGE: Geometry Preserving Attributed Graph EmbeddingsWeb Search and Data Mining (WSDM), 2020 Charilaos I. Kanatsoulis N. Sidiropoulos 62 3 0 03 Nov 2020
All of the Fairness for Edge Prediction with Optimal TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Charlotte Laclau I. Redko Manvi Choudhary C. Largeron FaML 110 48 0 30 Oct 2020
Graph Contrastive Learning with Adaptive AugmentationThe Web Conference (WWW), 2020 Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 248 1,274 0 27 Oct 2020
Line Graph Neural Networks for Link PredictionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Lei Cai Jundong Li Jie Wang Shuiwang Ji GNN 267 242 0 20 Oct 2020
InstantEmbedding: Efficient Local Node Representations Stefan Postavaru Anton Tsitsulin Filipe Almeida Yingtao Tian Silvio Lattanzi Bryan Perozzi 139 22 0 14 Oct 2020
NodeSig: Binary Node Embeddings via Random Walk DiffusionInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020 Abdulkadir Çelikkanat Fragkiskos D. Malliaros A. Papadopoulos DiffM 160 6 0 01 Oct 2020
Towards a Flexible Embedding Learning Framework Chin-Chia Michael Yeh Dhruv Gelda Zhongfang Zhuang Yan Zheng Liang Gou Wei Zhang 92 9 0 23 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020 Santosh Pandey Lingda Li A. Hoisie Xin Li Hang Liu 126 63 0 18 Sep 2020
Contrastive Self-supervised Learning for Graph ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2020 Jiaqi Zeng P. Xie SSL 198 168 0 13 Sep 2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node RepresentationsIEEE Access (IEEE Access), 2020 Sebastian Mežnar Nada Lavrac Blaž Škrlj 175 5 0 08 Sep 2020
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Shu Wu Liang Wang SSL GNN 95 29 0 03 Sep 2020
Decoupled Variational Embedding for Signed Directed NetworksACM Transactions on the Web (TWEB), 2020 Xu Chen Jiangchao Yao Maosen Li Ya Zhang Yanfeng Wang 99 5 0 28 Aug 2020
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification Rahul Ragesh Sundararajan Sellamanickam Arun Shankar Iyer Ramakrishna Bairi Vijay Lingam GNN 83 90 0 19 Aug 2020
Adversarial Directed Graph EmbeddingAAAI Conference on Artificial Intelligence (AAAI), 2020 Shijie Zhu Jianxin Li Hao Peng Senzhang Wang Lifang He GAN GNN 122 48 0 09 Aug 2020
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices J. Qiu Chi Wang Ben Liao Richard Peng Jie Tang 117 3 0 06 Aug 2020
G-CREWE: Graph CompREssion With Embedding for Network AlignmentInternational Conference on Information and Knowledge Management (CIKM), 2020 K. K. Qin Flora D. Salim Yongli Ren Wei Shao Mark Heimann Danai Koutra GNN 90 30 0 30 Jul 2020