LINE: Large-scale Information Network Embedding

12 March 2015

Jian Tang

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

50 / 489 papers shown

Title
AttrE2vec: Unsupervised Attributed Edge Representation Learning Piotr Bielak Tomasz Kajdanowicz Nitesh Chawla SSL 34 13 0 29 Dec 2020
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks Binghui Wang Jinyuan Jia Neil Zhenqiang Gong GNN 27 18 0 24 Dec 2020
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure Islam Akef Ebeid Majdi Hassan Tingyi Wanyan Jack Roper Abhik Seal Ying Ding 16 5 0 18 Dec 2020
Understanding graph embedding methods and their applications Mengjia Xu 26 129 0 15 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 87 111 0 10 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 29 36 0 09 Dec 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 38 295 0 30 Nov 2020
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction Yixin Cao Jun Kuang Ming Gao Aoying Zhou Yonggang Wen Tat-Seng Chua 33 21 0 27 Nov 2020
Cyclic Label Propagation for Graph Semi-supervised Learning Zhao Li Yixin Liu Zhen Zhang Shirui Pan Jianliang Gao Jiajun Bu 16 7 0 24 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 29 136 0 23 Nov 2020
A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations Md. Ashraful Islam Mir Mahathir Mohammad Sarkar Snigdha Sarathi Das Mohammed Eunus Ali 29 90 0 20 Nov 2020
Self-supervised Graph Representation Learning via Bootstrapping Feihu Che Guohua Yang Dawei Zhang J. Tao Pengpeng Shao Tong Liu SSL 8 23 0 10 Nov 2020
Massively Parallel Graph Drawing and Representation Learning Christian Böhm Claudia Plant GNN 9 2 0 06 Nov 2020
GAGE: Geometry Preserving Attributed Graph Embeddings Charilaos I. Kanatsoulis N. Sidiropoulos 25 2 0 03 Nov 2020
Hierarchical Metadata-Aware Document Categorization under Weak Supervision Yu Zhang Xiusi Chen Yu Meng Jiawei Han 43 22 0 26 Oct 2020
Directed Graph Representation through Vector Cross Product Ramanujam Madhavan Mohit Wadhwa 33 2 0 21 Oct 2020
Modeling Content and Context with Deep Relational Learning Maria Leonor Pacheco Dan Goldwasser NAI 53 34 0 20 Oct 2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach Yu Meng Yunyi Zhang Jiaxin Huang Chenyan Xiong Heng Ji Chao Zhang Jiawei Han VLM 55 75 0 14 Oct 2020
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization Yue Yu Kexin Huang Chao Zhang Lucas Glass Jimeng Sun Cao Xiao 28 120 0 04 Oct 2020
EEMC: Embedding Enhanced Multi-tag Classification Yanlin Li Shinwoo An Ruisheng Zhang 11 0 0 29 Sep 2020
Inductive Graph Embeddings through Locality Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez GNN 15 1 0 26 Sep 2020
Towards a Flexible Embedding Learning Framework Chin-Chia Michael Yeh Dhruv Gelda Zhongfang Zhuang Yan Zheng Liang Gou Wei Zhang 30 9 0 23 Sep 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning Yizhu Jiao Yun Xiong Jiawei Zhang Yao Zhang Tianqi Zhang Yangyong Zhu SSL 21 167 0 22 Sep 2020
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning Denghui Zhang Junming Liu Hengshu Zhu Yanchi Liu Lichen Wang Pengyang Wang Hui Xiong 14 47 0 16 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning Costas Mavromatis George Karypis 27 54 0 15 Sep 2020
Contrastive Self-supervised Learning for Graph Classification Jiaqi Zeng P. Xie SSL 41 153 0 13 Sep 2020
Community detection in networks using graph embeddings Aditya Tandon A. Albeshri V. Thayananthan W. Alhalabi F. Radicchi S. Fortunato GNN 22 37 0 11 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 48 117 0 11 Sep 2020
Understanding Coarsening for Embedding Large-Scale Graphs Taha Atahan Akyildiz Amro Alabsi Aljundi K. Kaya 11 4 0 10 Sep 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin 19 97 0 07 Sep 2020
Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach Qihang Zhao 15 4 0 06 Sep 2020
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs Houxiang Fan Binghui Wang Pan Zhou Ang Li Meng Pang Zichuan Xu Cai Fu H. Li Yiran Chen AAML MLAU 22 16 0 01 Sep 2020
GOSH: Embedding Big Graphs on Small Hardware Taha Atahan Akyildiz Amro Alabsi Aljundi K. Kaya GNN 17 17 0 27 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 25 5 0 26 Aug 2020
Adversarial Directed Graph Embedding Shijie Zhu Jianxin Li Hao Peng Senzhang Wang Lifang He GAN GNN 28 44 0 09 Aug 2020
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models Michael Ridenhour A. Bagavathi Elaheh Raisi S. Krishnan 25 10 0 24 Jul 2020
Recent Advances in Network-based Methods for Disease Gene Prediction S. Ata Min-man Wu Yuan Fang Le Ou-Yang C. Kwoh Xiaoli Li 18 57 0 19 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 18 3 0 17 Jul 2020
Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data Yuefeng Liang A. Chaudhuri Haoyu Wang 18 0 0 17 Jul 2020
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens Saman Forouzandeh M. Rostami K. Berahmand 21 90 0 15 Jul 2020
Next Waves in Veridical Network Embedding Owen G. Ward Zhen Huang Andrew Davison Tian Zheng GNN 18 5 0 10 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 33 85 0 09 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 35 480 0 05 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 29 28 0 03 Jul 2020
Adaptive Graph Encoder for Attributed Graph Embedding Ganqu Cui Jie Zhou Cheng Yang Zhiyuan Liu 22 219 0 03 Jul 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 18 549 0 27 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 64 935 0 17 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 54 1,588 0 15 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 34 100 0 12 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 32 407 0 11 Jun 2020