LINE: Large-scale Information Network Embedding

12 March 2015

Jian Tang

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

50 / 489 papers shown

Title
GraLSP: Graph Neural Networks with Local Structural Patterns Yilun Jin Guojie Song C. Shi 27 47 0 18 Nov 2019
Unsupervised Attributed Multiplex Network Embedding Chanyoung Park Donghyun Kim Jiawei Han Hwanjo Yu 35 249 0 15 Nov 2019
Graph Representation Learning via Multi-task Knowledge Distillation Jiaqi Ma Qiaozhu Mei 21 18 0 11 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 72 947 0 06 Nov 2019
Online matrix factorization for Markovian data and applications to Network Dictionary Learning Hanbaek Lyu Deanna Needell Laura Balzano 31 26 0 05 Nov 2019
Semi-supervisedly Co-embedding Attributed Networks Zaiqiao Meng Shangsong Liang Jinyuan Fang Teng Xiao GNN DRL 37 26 0 31 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 21 23 0 27 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification Uchenna Akujuobi Qiannan Zhang Han Yufei Xiangliang Zhang GNN 24 8 0 22 Oct 2019
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification Uchenna Akujuobi Yufei Han Qiannan Zhang Xiangliang Zhang 25 16 0 22 Oct 2019
Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation Mengqi Zhang Shu Wu Meng Gao Xin Jiang Ke Xu Liang Wang 27 43 0 20 Oct 2019
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion Jiaming Shen Zeqiu Wu Dongming Lei Chao Zhang Xiang Ren M. Vanni Brian M. Sadler Jiawei Han 29 77 0 17 Oct 2019
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories Yu Zhang Frank F. Xu Sha Li Yu Meng Xuan Wang Qi Li Jiawei Han 45 41 0 16 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang Liang Wang GNN 22 216 0 12 Oct 2019
Learning Invariant Representations of Social Media Users Nicholas Andrews M. Bishop 28 35 0 11 Oct 2019
Link Prediction via Graph Attention Network Weiwei Gu Fei Gao Xiaodan Lou Jiang Zhang GNN HAI 19 14 0 10 Oct 2019
Knowledge-based Biomedical Data Science 2019 Tiffany J. Callahan Harrison Pielke-Lombardo Ignacio J. Tripodi Lawrence E. Hunter AI4CE 21 36 0 08 Oct 2019
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding Tong Wu Yunlong Wang Yue Wang E. Zhao Yilian Yuan Zhi Yang AI4TS 23 15 0 07 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 34 23 0 06 Oct 2019
Learning Robust Representations with Graph Denoising Policy Network Lu Wang Wenchao Yu Wei Wang Wei Cheng Wei Zhang H. Zha Xiaofeng He Haifeng Chen OOD 14 26 0 04 Oct 2019
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application Carl Yang Xiaolin Shi Luo Jie Jiawei Han HAI 24 82 0 29 Sep 2019
Neural Embedding Propagation on Heterogeneous Networks Carl Yang Jieyu Zhang Jiawei Han 32 20 0 29 Sep 2019
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights Carl Yang Yichen Feng Pan Li Yu Shi Jiawei Han 11 42 0 29 Sep 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 840 0 28 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit John Palowitch Bryan Perozzi 19 19 0 25 Sep 2019
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities Devanshu Arya S. Rudinac M. Worring 23 11 0 19 Sep 2019
Jointly embedding the local and global relations of heterogeneous graph for rumor detection Chunyuan Yuan Qianwen Ma Wei Zhou Jizhong Han Songlin Hu 174 141 0 10 Sep 2019
Temporal Network Embedding with Micro- and Macro-dynamics Yuanfu Lu Tianlin Li C. Shi Philip S. Yu Yanfang Ye AI4TS AI4CE 24 117 0 10 Sep 2019
Hypergraph Partitioning With Embeddings Justin Sybrandt Ruslan Shaydulin Ilya Safro 25 10 0 09 Sep 2019
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding Yu He Yangqiu Song Jianxin Li Cheng Ji Jian Peng Hao Peng 19 111 0 07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 61 178 0 07 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 29 86 0 04 Sep 2019
Adversarial Training Methods for Network Embedding Quanyu Dai X. Shen Liang Zhang Qiang Li Dan Wang GAN 18 103 0 30 Aug 2019
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Yuting Ye Xuwu Wang Jiangchao Yao Kunyang Jia Jingren Zhou Yanghua Xiao Hongxia Yang BDL 17 26 0 28 Aug 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 20 184 0 26 Aug 2019
Hyper-Path-Based Representation Learning for Hyper-Networks Jie Huang Xin Liu Yangqiu Song GNN 21 25 0 24 Aug 2019
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 30 38 0 22 Aug 2019
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks Manoj Reddy Dareddy Mahashweta Das Hao Yang 18 25 0 22 Aug 2019
Cross-domain Network Representations Shan Xue Jie Lu Guangquan Zhang 29 16 0 01 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 50 844 0 31 Jul 2019
Hyperlink Regression via Bregman Divergence Akifumi Okuno Hidetoshi Shimodaira 36 6 0 22 Jul 2019
Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach Wuwei Lan Yanyan Xu Bin Zhao AI4TS 3DH 20 31 0 08 Jul 2019
Network Embedding: on Compression and Learning Esra Akbas M. E. Aktas GNN 21 9 0 05 Jul 2019
Unsupervised Adversarial Graph Alignment with Graph Embedding Chaoqi Chen Weiping Xie Tingyang Xu Yu Rong Wenbing Huang Xinghao Ding Yue Huang Junzhou Huang 22 15 0 01 Jul 2019
Signed Graph Attention Networks Junjie Huang Huawei Shen Liang Hou Xueqi Cheng GNN 27 117 0 26 Jun 2019
Dynamic Network Embeddings for Network Evolution Analysis Chuanchang Chen Y. Tao Hai Lin 25 7 0 24 Jun 2019
Graph Star Net for Generalized Multi-Task Learning H. Lu Seth H. Huang Tian Ye Xiuyan Guo GNN 33 46 0 21 Jun 2019
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank Renchi Yang Jieming Shi Xiaokui Xiao Yifan Yang S. Bhowmick 22 65 0 17 Jun 2019
Spaceland Embedding of Sparse Stochastic Graphs N. Pitsianis A. Iliopoulos D. Floros Xiaobai Sun 19 6 0 13 Jun 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations Xiang Yue Zhen Wang Jingong Huang Srinivasan Parthasarathy Soheil Moosavinasab Yungui Huang S. Lin Wen Zhang Ping Zhang Huan Sun GNN 21 325 0 12 Jun 2019
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings P. Elinas Edwin V. Bonilla Louis C. Tiao BDL GNN 29 10 0 05 Jun 2019