LINE: Large-scale Information Network Embedding

12 March 2015

Jian Tang

Papers citing "LINE: Large-scale Information Network Embedding"

50 / 489 papers shown

Title
Improved Deep Embeddings for Inferencing with Multi-Layered Networks Huan Song Jayaraman J. Thiagarajan 53 2 0 20 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 22 487 0 14 Sep 2018
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment Dinghan Shen Xinyuan Zhang Ricardo Henao Lawrence Carin AI4TS 22 25 0 29 Aug 2018
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation Jundong Li Liang Wu Huan Liu 8 35 0 26 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 24 43 0 20 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 21 316 0 16 Aug 2018
AceKG: A Large-scale Knowledge Graph for Academic Data Mining Ruijie Wang Yuchen Yan Jialu Wang Yuting Jia Ye Zhang Weinan Zhang Xinbing Wang SLR 27 106 0 23 Jul 2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi Qi Zhu Fang Guo Chao Zhang Jiawei Han 16 118 0 10 Jul 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,948 0 09 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 121 3,087 0 04 Jun 2018
On representation power of neural network-based graph embedding and beyond Akifumi Okuno Hidetoshi Shimodaira 21 2 0 31 May 2018
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning Shupeng Gui Xiangliang Zhang Shuang Qiu Mingrui Wu Jieping Ye Ji Liu 13 0 0 28 May 2018
Conditional Network Embeddings Bo Kang Jefrey Lijffijt T. D. Bie 20 44 0 19 May 2018
GANE: A Generative Adversarial Network Embedding Huiting Hong Xin Li Mingzhong Wang GAN 21 30 0 18 May 2018
Constructing Narrative Event Evolutionary Graph for Script Event Prediction Zhongyang Li Xiao Ding Ting Liu 16 192 0 14 May 2018
hyperdoc2vec: Distributed Representations of Hypertext Documents Jialong Han Yan Song Wayne Xin Zhao Shuming Shi Haisong Zhang 16 30 0 10 May 2018
Towards a Spectrum of Graph Convolutional Networks Mathias Niepert Alberto García-Durán GNN 25 1 0 04 May 2018
Efficient Graph Computation for Node2Vec Dongyan Zhou Songjie Niu Shimin Chen 27 20 0 01 May 2018
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding Vachik S. Dave Baichuan Zhang Pin-Yu Chen M. Hasan BDL 29 29 0 23 Apr 2018
HeteroMed: Heterogeneous Information Network for Medical Diagnosis Anahita Hosseini Ting-Li Chen Wenjun Wu Yizhou Sun Majid Sarrafzadeh 19 50 0 22 Apr 2018
Stylistic Variation in Social Media Part-of-Speech Tagging Murali Balusu Taha Merghani Jacob Eisenstein 11 5 0 19 Apr 2018
Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes T. K. Saha Thomas Williams M. Hasan Shafiq Joty Nicholas K. Varberg 13 9 0 16 Apr 2018
Predicting Twitter User Socioeconomic Attributes with Network and Language Information Nikolaos Aletras B. Chamberlain 11 53 0 11 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 25 172 0 03 Apr 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 33 296 0 28 Mar 2018
AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network Embedding Lei Sang Min Xu Shengsheng Qian Xindong Wu GAN GNN 8 11 0 24 Mar 2018
VERSE: Versatile Graph Embeddings from Similarity Measures Anton Tsitsulin Davide Mottin Panagiotis Karras Emmanuel Müller 20 267 0 13 Mar 2018
Representation Learning over Dynamic Graphs Rakshit S. Trivedi Mehrdad Farajtabar P. Biswal H. Zha AI4TS AI4CE 14 51 0 11 Mar 2018
GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding Wenyu Du Shuai Yu Min Yang Qiang Qu Jia Zhu 36 5 0 07 Mar 2018
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks Yu Shi Huan Gui Qi Zhu Lance M. Kaplan Jiawei Han 39 83 0 05 Mar 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 19 1,902 0 27 Feb 2018
MILE: A Multi-Level Framework for Scalable Graph Embedding Jiongqian Liang Saket Gurukar Srinivas Parthasarathy GNN 28 77 0 26 Feb 2018
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction Huaxiu Yao Fei Wu Jintao Ke Xianfeng Tang Yitian Jia Siyu Lu Pinghua Gong Jieping Ye Z. Li GNN 43 1,102 0 23 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 41 7 0 15 Feb 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Lina Yao Chengqi Zhang GNN GAN 22 442 0 13 Feb 2018
Learning Role-based Graph Embeddings Nesreen Ahmed Ryan Rossi J. B. Lee Theodore L. Willke R. Zhou Xiangnan Kong Hoda Eldardiry 26 96 0 07 Feb 2018
Complex Network Classification with Convolutional Neural Network Ruyue Xin Jiang Zhang Yi Shao GNN 38 111 0 02 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 62 1,506 0 30 Jan 2018
HONE: Higher-Order Network Embeddings Ryan A. Rossi Nesreen Ahmed Eunyee Koh Sungchul Kim Anup B. Rao Yasin Abbasi-Yadkori 29 22 0 28 Jan 2018
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction Hongwei Wang Fuzheng Zhang Min Hou Xing Xie Minyi Guo Qi Liu 21 327 0 03 Dec 2017
Representation Learning for Scale-free Networks Rui Feng Yang Yang Wenjie Hu Fei Wu Yueting Zhuang GNN 20 50 0 29 Nov 2017
Topological Recurrent Neural Network for Diffusion Prediction Jia Wang V. Zheng Zemin Liu Kevin Chen-Chuan Chang DiffM GNN 43 167 0 28 Nov 2017
Adversarial Network Embedding Quanyu Dai Qiang Li Jian Tang Dan Wang GNN GAN 43 221 0 21 Nov 2017
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation Ming Wang Mengyue Liu Jun Liu Sen Wang Guodong Long 16 68 0 16 Oct 2017
Learning Graph Representations with Embedding Propagation Alberto García-Durán Mathias Niepert GNN SSL 29 167 0 09 Oct 2017
Premise Selection for Theorem Proving by Deep Graph Embedding Mingzhe Wang Yihe Tang Jian Wang Jia Deng 32 132 0 28 Sep 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 53 1,782 0 22 Sep 2017
An Attention-based Collaboration Framework for Multi-View Network Representation Learning Meng Qu Jian Tang Jingbo Shang Xiang Ren Ming Zhang Jiawei Han GNN 24 167 0 19 Sep 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 58 1,967 0 17 Sep 2017
Network Vector: Distributed Representations of Networks with Global Context Hao Wu Kristina Lerman 11 3 0 07 Sep 2017