LINE: Large-scale Information Network Embedding

12 March 2015

Jian Tang

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

50 / 489 papers shown

Title
Node Embeddings and Exact Low-Rank Representations of Complex Networks Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis BDL 27 33 0 10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 31 1,275 0 10 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
FREDE: Anytime Graph Embeddings Anton Tsitsulin Marina Munkhoeva Davide Mottin Panagiotis Karras Ivan Oseledets Emmanuel Müller 30 34 0 08 Jun 2020
Propositionalization and Embeddings: Two Sides of the Same Coin Nada Lavrac Blaž Škrlj Marko Robnik-Šikonja 21 26 0 08 Jun 2020
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction Hongxu Chen Hongzhi Yin Xiangguo Sun Tong Chen Bogdan Gabrys Katarzyna Musial 23 137 0 02 Jun 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 44 6 0 02 Jun 2020
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity Sudhanshu Chanpuriya Cameron Musco 22 28 0 29 May 2020
Blockchain is Watching You: Profiling and Deanonymizing Ethereum Users Ferenc Béres István András Seres András A. Benczúr Mikerah Quintyne-Collins 22 74 0 28 May 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network Yaming Yang Ziyu Guan Jianxin Li Wei Zhao Jiangtao Cui Quan Wang GNN 24 171 0 27 May 2020
The Effects of Randomness on the Stability of Node Embeddings Tobias Schumacher Hinrikus Wolf Martin Ritzert Florian Lemmerich Jan Bachmann Florian Frantzen Max Klabunde Martin Grohe M. Strohmaier 8 21 0 20 May 2020
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs Lei Cai Zhengzhang Chen Chen Luo Jiaping Gui Jingchao Ni Ding Li Haifeng Chen 23 124 0 15 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 287 0 07 May 2020
Directed Graph Convolutional Network Zekun Tong Keli Zhang Changsheng Sun David S. Rosenblum A. Lim BDL GNN 26 113 0 29 Apr 2020
Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency Xinglei Wang Xuefeng Guan Jun Cao N. Zhang Huayi Wu GNN AI4TS 24 42 0 06 Apr 2020
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark Carl Yang Yuxin Xiao Yu Zhang Yizhou Sun Jiawei Han AI4TS 52 57 0 01 Apr 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning Zekarias T. Kefato Sarunas Girdzijauskas 21 7 0 30 Mar 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 101 82 0 30 Mar 2020
The impossibility of low rank representations for triangle-rich complex networks C. Seshadhri Aneesh Sharma Andrew Stolman Ashish Goel GNN 25 67 0 27 Mar 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data Martin Grohe 32 170 0 27 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs Jingxin Liu Chang Xu Chang Yin Weiqiang Wu You Song GNN 65 47 0 22 Mar 2020
Inducing Optimal Attribute Representations for Conditional GANs Binod Bhattarai Tae-Kyun Kim GAN 37 19 0 13 Mar 2020
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition Ke Wang M. M. Li Hong Fu Jicong Fan Zhao Zhang Howard Leung 46 5 0 06 Mar 2020
Semi-supervised Anomaly Detection on Attributed Graphs Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 26 37 0 27 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 29 45 0 27 Feb 2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes Jilin Hu Jianbing Shen B. Yang Ling Shao BDL GNN 47 17 0 26 Feb 2020
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? Alexandru Mara Jefrey Lijffijt T. D. Bie 43 22 0 25 Feb 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 23 612 0 19 Feb 2020
Higher-Order Label Homogeneity and Spreading in Graphs D. Eswaran Srijan Kumar Christos Faloutsos 44 19 0 18 Feb 2020
Shortest path distance approximation using deep learning techniques Fatemeh Salehi Rizi Jorg Schlotterer Michael Granitzer GNN 24 35 0 12 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction Felix L. Opolka Pietro Lio GNN 27 15 0 11 Feb 2020
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention Yuxiang Ren Jiawei Zhang GNN 26 19 0 05 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 36 6 0 05 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding Xinyu Fu Jiani Zhang Ziqiao Meng Irwin King 43 844 0 05 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 54 568 0 04 Feb 2020
ExEm: Expert Embedding using dominating set theory with deep learning approaches Narjes Nikzad Khasmakhi M. Balafar M. Feizi-Derakhshi C. Motamed 24 18 0 16 Jan 2020
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification Alex Ruch 30 6 0 04 Jan 2020
Predicting Attributes of Nodes Using Network Structure Sarwan Ali M. Shakeel Imdadullah Khan S. Faizullah Muhammad Asad Khan GNN 15 31 0 27 Dec 2019
Multi-Label Graph Convolutional Network Representation Learning Min Shi Yufei Tang Xingquan Zhu Jianxun Liu 28 23 0 26 Dec 2019
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning Min Shi Yufei Tang Xingquan Zhu Jianxun Liu GNN 28 11 0 26 Dec 2019
Neural Subgraph Isomorphism Counting Xin Liu Haojie Pan Mutian He Yangqiu Song Xin Jiang Lifeng Shang GNN 28 78 0 25 Dec 2019
Privacy Attacks on Network Embeddings Michael Ellers Michael Cochez Tobias Schumacher M. Strohmaier Florian Lemmerich AAML 19 12 0 23 Dec 2019
Community detection in node-attributed social networks: a survey Petr Chunaev 30 237 0 20 Dec 2019
An Attention-based Graph Neural Network for Heterogeneous Structural Learning Huiting Hong Hantao Guo Yucheng Lin Xiaoqing Yang Zang Li Jieping Ye 27 213 0 19 Dec 2019
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection A. Lutov Dingqi Yang Philippe Cudré-Mauroux 14 7 0 17 Dec 2019
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning Shuai Zheng Zhenfeng Zhu Xingxing Zhang Zhizhe Liu Jian Cheng Yao-Min Zhao OOD GAN 30 32 0 04 Dec 2019
Network Embedding: An Overview Nino Arsov G. Mirceva GNN 22 24 0 26 Nov 2019
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network Seonghyeon Lee Chanyoung Park Hwanjo Yu 27 19 0 26 Nov 2019
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling Yue Wang Chenwei Zhang Shen Wang Philip S. Yu Lu Bai Lixin Cui Guandong Xu 29 4 0 26 Nov 2019
Exponential Family Graph Embeddings Abdulkadir Çelikkanat Fragkiskos D. Malliaros 33 13 0 20 Nov 2019