LINE: Large-scale Information Network Embedding

12 March 2015

Jian Tang

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

50 / 489 papers shown

Title
CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling Ling Zhan Tao Jia 36 8 0 12 Oct 2021
Neural Link Prediction with Walk Pooling Liming Pan Chen Shi Ivan Dokmanić 27 52 0 08 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 33 50 0 06 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 46 22 0 20 Sep 2021
Grouping Search Results with Product Graphs in E-commerce Platforms Suhas Ranganath Shibsankar Das Sanjay Thilaivasan Shipra Agarwal Varun Shrivastava 22 0 0 20 Sep 2021
Embedding Node Structural Role Identity Using Stress Majorization Lili Wang Chenghan Huang Weicheng Ma Ying Lu Soroush Vosoughi 16 4 0 14 Sep 2021
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization Lili Wang Chenghan Huang Weicheng Ma Xinyuan Cao Soroush Vosoughi GNN DiffM 20 14 0 14 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 45 91 0 08 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning Baoyu Jing Shengyu Feng Yuejia Xiang Xi Chen Yu Chen Hanghang Tong 41 28 0 08 Sep 2021
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning Xinjun Cai Jiaxing Shang Fei Hao Dajiang Liu Linjiang Zheng 31 19 0 07 Sep 2021
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction Maosen Li Siheng Chen Yangheng Zhao Ya Zhang Yanfeng Wang Qi Tian 3DH 25 74 0 25 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 39 42 0 24 Aug 2021
REFINE: Random RangE FInder for Network Embedding Hao Zhu Piotr Koniusz 35 22 0 24 Aug 2021
Semi-supervised Network Embedding with Differentiable Deep Quantisation Tao He Lianli Gao Jingkuan Song Yuan-Fang Li 37 5 0 20 Aug 2021
Twitter User Representation Using Weakly Supervised Graph Embedding Tunazzina Islam Dan Goldwasser 19 8 0 20 Aug 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks R. A. Khan M. Kleinsteuber 32 3 0 09 Aug 2021
Deep Neural Network for DrawiNg Networks, (DNN)^2 Loann Giovannangeli Frédéric Lalanne D. Auber R. Giot Romain Bourqui 21 9 0 08 Aug 2021
Data Considerations in Graph Representation Learning for Supply Chain Networks Ajmal Aziz E. Kosasih Ryan-Rhys Griffiths Alexandra Brintrup 47 12 0 22 Jul 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 53 18 0 21 Jul 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering Nairouz Mrabah Mohamed Bouguessa M. Touati Riadh Ksantini 37 63 0 19 Jul 2021
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding Zipeng Liu Yangkun Wang J. Bernard T. Munzner 45 23 0 24 Jun 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 33 39 0 22 Jun 2021
Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection Shucheng Li Fengyuan Xu Runchuan Wang Sheng Zhong GNN 32 21 0 18 Jun 2021
Unsupervised Path Representation Learning with Curriculum Negative Sampling Sean Bin Yang Chenjuan Guo Jilin Hu Jiangtao Tang Bin Yang SSL 24 48 0 17 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Jia Wu Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 48 539 0 14 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 33 300 0 13 Jun 2021
Multiple Kernel Representation Learning on Networks Abdulkadir Çelikkanat Yanning Shen Fragkiskos D. Malliaros 20 5 0 09 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks Liang Qu Huaisheng Zhu Ruiqi Zheng Yuhui Shi Hongzhi Yin 20 99 0 05 Jun 2021
Graph Barlow Twins: A self-supervised representation learning framework for graphs Piotr Bielak Tomasz Kajdanowicz Nitesh Chawla SSL 21 135 0 04 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 40 93 0 03 Jun 2021
Graph Learning: A Survey Feng Xia Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 32 345 0 03 May 2021
Ponzi Scheme Detection in EthereumTransaction Network Shanqing Yu Jie Jin Yunyi Xie Jie Shen Qi Xuan 12 27 0 17 Apr 2021
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks Jianxin Li Hao Peng Dongyuan Li Yingtong Dou Hekai Zhang Philip S. Yu Lifang He 30 80 0 16 Apr 2021
Variational Co-embedding Learning for Attributed Network Clustering Shuiqiao Yang Sunny Verma Borui Cai Jiaojiao Jiang Kun Yu Fang Chen Shui Yu 37 30 0 15 Apr 2021
Self-supervised Graph Neural Networks without explicit negative sampling Zekarias T. Kefato Sarunas Girdzijauskas SSL 42 40 0 27 Mar 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes Man Wu Shirui Pan Lan Du Xingquan Zhu 30 33 0 08 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 25 28 0 07 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 27 569 0 28 Feb 2021
Graphfool: Targeted Label Adversarial Attack on Graph Embedding Jinyin Chen Xiang Lin Dunjie Zhang Haibin Zheng Guohan Huang Hui Xiong Xiang Lin AAML 56 3 0 24 Feb 2021
Link Prediction with Persistent Homology: An Interactive View Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Chao Chen 22 46 0 20 Feb 2021
DeepWalking Backwards: From Embeddings Back to Graphs Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis GNN 39 13 0 17 Feb 2021
Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking Yunyi Xie Jie Jin Jian Zhang Shanqing Yu Qi Xuan AI4TS 22 11 0 16 Feb 2021
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 98 164 0 15 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 52 6 0 27 Jan 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 41 14 0 18 Jan 2021
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search Ziyang Liu Zhaomeng Cheng Yunjiang Jiang Yue Shang Wei Xiong Sulong Xu Bo Long Di Jin 30 3 0 13 Jan 2021
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings Benedek Rozemberczki Rik Sarkar 126 68 0 08 Jan 2021
Dynamic Graph Collaborative Filtering Xiaohan Li Mengqi Zhang Shu Wu Zheng Liu Liang Wang Philip S. Yu 105 70 0 08 Jan 2021
SDGNN: Learning Node Representation for Signed Directed Networks Junjie Huang Huawei Shen Liang Hou Xueqi Cheng 45 83 0 07 Jan 2021