node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

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Title
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 110 493 0 14 Sep 2018
Semantically Enhanced Models for Commonsense Knowledge Acquisition Ikhlas Alhussien Min Zhang Zhang NengSheng LRM 26 5 0 12 Sep 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes Yin Cheng Ng Nicolo Colombo Ricardo M. A. Silva BDL 103 90 0 12 Sep 2018
Sampled in Pairs and Driven by Text: A New Graph Embedding Framework Liheng Chen Yanru Qu Zhenghui Wang Lin Qiu Weinan Zhang Ken Chen Shaodian Zhang Yong Yu 98 2 0 12 Sep 2018
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks Lichao Sun Lifang He Zhipeng Huang Bokai Cao Congying Xia Xiaokai Wei Philip S. Yu GNN 59 30 0 11 Sep 2018
Multi-view Models for Political Ideology Detection of News Articles Vivek Kulkarni Junting Ye Steven Skiena William Yang Wang 64 74 0 10 Sep 2018
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning Palash Goyal Sujit Rokka Chhetri A. Canedo 141 406 0 07 Sep 2018
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation Fei Jiang Lei Zheng Jin Xu Philip S. Yu 36 6 0 07 Sep 2018
BiasedWalk: Biased Sampling for Representation Learning on Graphs Duong Nguyen Fragkiskos D. Malliaros 24 17 0 07 Sep 2018
Deep Feature Learning of Multi-Network Topology for Node Classification Hansheng Xue Jiajie Peng Xuequn Shang 24 3 0 07 Sep 2018
Feature Learning for Meta-Paths in Knowledge Graphs Sebastian Bischoff 53 0 0 07 Sep 2018
Learning Embeddings of Directed Networks with Text-Associated Nodes---with Applications in Software Package Dependency Networks Kexuan Sun Shudan Zhong Hong Xu 22 3 0 07 Sep 2018
Graph-based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification Fenxiao Chen Bin Wang C.-C. Jay Kuo GNN 45 2 0 04 Sep 2018
Adversarial Attacks on Node Embeddings via Graph Poisoning Aleksandar Bojchevski Stephan Günnemann AAML 100 307 0 04 Sep 2018
Context Mover's Distance & Barycenters: Optimal Transport of Contexts for Building Representations Sidak Pal Singh Andreas Hug Hadrien Hendrikx Martin Jaggi OT 95 27 0 29 Aug 2018
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment Dinghan Shen Xinyuan Zhang Ricardo Henao Lawrence Carin AI4TS 80 25 0 29 Aug 2018
EmbeddingVis: A Visual Analytics Approach to Comparative Network Embedding Inspection Quan Li Kristanto Sean Njotoprawiro Hammad Haleem Qiaoan Chen Chris Yi Xiaojuan Ma 57 58 0 28 Aug 2018
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation Jundong Li Liang Wu Huan Liu 55 35 0 26 Aug 2018
FinBrain: When Finance Meets AI 2.0 Xiaolin Zheng Mengying Zhu Qibing Li Chaochao Chen Yanchao Tan AIFin 81 56 0 26 Aug 2018
Future Automation Engineering using Structural Graph Convolutional Neural Networks Jiang Wan Blake S. Pollard Sujit Rokka Chhetri Palash Goyal Mohammad Abdullah Al Faruque A. Canedo GNN 36 3 0 24 Aug 2018
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs Dimitri Kartsaklis Mohammad Taher Pilehvar Nigel Collier 77 58 0 23 Aug 2018
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 57 43 0 20 Aug 2018
Linked Recurrent Neural Networks Zhiwei Wang Yao Ma D. Yin Jiliang Tang 32 1 0 19 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Yizhou Sun Wei Wang GNN 85 327 0 16 Aug 2018
Learning Graph Embeddings from WordNet-based Similarity Measures Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Sergey Petrakov GNN 33 17 0 16 Aug 2018
Syntree2Vec - An algorithm to augment syntactic hierarchy into word embeddings Shubham Bhardwaj 18 1 0 14 Aug 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 127 600 0 12 Aug 2018
Global and local evaluation of link prediction tasks with neural embeddings Asan Agibetov Matthias Samwald 72 10 0 27 Jul 2018
Attention Models in Graphs: A Survey J. B. Lee Ryan A. Rossi Sungchul Kim Nesreen K. Ahmed Eunyee Koh GNN 72 164 0 20 Jul 2018
Efficient Training on Very Large Corpora via Gramian Estimation Walid Krichene Nicolas Mayoraz Steffen Rendle Li Zhang Xinyang Yi Lichan Hong Ed H. Chi John R. Anderson 78 48 0 18 Jul 2018
DeepInf: Social Influence Prediction with Deep Learning J. Qiu Jian Tang Hao Ma Yuxiao Dong Kuansan Wang Jie Tang GNN AI4CE 103 549 0 15 Jul 2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi Qi Zhu Fang Guo Chao Zhang Jiawei Han 105 118 0 10 Jul 2018
Jointly Embedding Entities and Text with Distant Supervision Denis R. Newman-Griffis A. Lai Eric Fosler-Lussier 98 30 0 09 Jul 2018
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites Jiankai Sun Abhinav Vishnu Aniket Chakrabarti Charles Siegel Srinivasan Parthasarathy 28 19 0 02 Jul 2018
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data Victor Veitch Morgane Austern Wenda Zhou David M. Blei Peter Orbanz 85 9 0 27 Jun 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules Shengchao Liu M. F. Demirel Yingyu Liang GNN NAI 89 199 0 24 Jun 2018
Learning Policy Representations in Multiagent Systems Aditya Grover Maruan Al-Shedivat Jayesh K. Gupta Yuri Burda Harrison Edwards AI4CE 95 125 0 17 Jun 2018
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data David Hallac Suvrat Bhooshan M. Chen K. Abida R. Sosič J. Leskovec 44 21 0 12 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 605 2,000 0 09 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 468 3,579 0 06 Jun 2018
Closed Form Word Embedding Alignment Sunipa Dev Safia Hassan J. M. Phillips 34 3 0 04 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 931 3,136 0 04 Jun 2018
Legal Document Retrieval using Document Vector Embeddings and Deep Learning Keet Sugathadasa Buddhi Ayesha Nisansa de Silva A. Perera Vindula Jayawardana Dimuthu Lakmal M. Perera AILaw 68 79 0 27 May 2018
KONG: Kernels for ordered-neighborhood graphs M. Draief Konstantin Kutzkov Kevin Scaman Milan Vojnović GNN 44 4 0 25 May 2018
Deep Graph Translation Xiaojie Guo Lingfei Wu Liang Zhao GNN 84 33 0 25 May 2018
Diffusion Maps for Textual Network Embedding Xinyuan Zhang Yitong Li Dinghan Shen Lawrence Carin DiffM GNN 126 27 0 24 May 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 227 1,075 0 21 May 2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions Boris Muzellec Marco Cuturi 88 79 0 19 May 2018
Conditional Network Embeddings Bo Kang Jefrey Lijffijt T. D. Bie 63 44 0 19 May 2018
Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed Cheng Ju James Li Bram Wasti Shengbo Guo GNN 28 1 0 18 May 2018