node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

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Title
Author Profiling for Hate Speech Detection Pushkar Mishra Marco Del Tredici H. Yannakoudakis Ekaterina Shutova 27 17 0 14 Feb 2019
Link Prediction via Higher-Order Motif Features Ghadeer Abuoda G. D. F. Morales Ashraf Aboulnaga 27 37 0 08 Feb 2019
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification Blaž Škrlj Matej Martinc Jan Kralj Nada Lavrac Senja Pollak 27 44 0 01 Feb 2019
Representation Learning for Heterogeneous Information Networks via Embedding Events Guoji Fu Bo Yuan Qiqi Duan Xin Yao 24 20 0 29 Jan 2019
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism Yongzhen Wang Xiaozhong Liu Zheng Gao AI4TS 21 22 0 28 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 34 1 0 24 Jan 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth Prateek Yadav Manik Bhandari Partha P. Talukdar GNN 33 40 0 24 Jan 2019
CommunityGAN: Community Detection with Generative Adversarial Nets Yuting Jia Qinqin Zhang Weinan Zhang Xinbing Wang GNN GAN 32 115 0 20 Jan 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding Hongteng Xu Dixin Luo H. Zha Lawrence Carin 30 256 0 17 Jan 2019
Learning Vertex Representations for Bipartite Networks Ming Gao Xiangnan He Leihui Chen Tingting Liu Jinglin Zhang Aoying Zhou 22 23 0 16 Jan 2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 21 19 0 14 Jan 2019
Attributed Network Embedding via Subspace Discovery Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang 38 48 0 14 Jan 2019
Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks Furkan Gursoy Ahmet Onur Durahim DiffM GNN 16 1 0 12 Jan 2019
Deep Network Embedding for Graph Representation Learning in Signed Networks X. Shen F. Chung GNN 20 88 0 07 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 25 227 0 06 Jan 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 27 282 0 04 Jan 2019
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph Zhuoren Jiang Yue Yin Liangcai Gao Yao Lu Xiaozhong Liu 16 50 0 31 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks Aravind Sankar Yanhong Wu Liang Gou Wei Zhang Hao Yang GNN 27 119 0 22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 43 5,431 0 20 Dec 2018
Learning Features of Network Structures Using Graphlets Kun Tu Jian Li Don Towsley Dave Braines Liam D. Turner GNN 18 2 0 13 Dec 2018
Improved Knowledge Graph Embedding using Background Taxonomic Information Bahare Fatemi Siamak Ravanbakhsh David Poole 33 39 0 07 Dec 2018
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation Willem Blokland Jinyuan Jia Kishansingh Rajput 21 52 0 04 Dec 2018
Online Graph-Adaptive Learning with Scalability and Privacy Yanning Shen G. Leus G. Giannakis 30 32 0 03 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 20 13 0 30 Nov 2018
Adversarial Classifier for Imbalanced Problems Ehsan Montahaei Mahsa Ghorbani M. Baghshah Hamid R. Rabiee 21 12 0 21 Nov 2018
Role action embeddings: scalable representation of network positions George Berry GNN 21 2 0 19 Nov 2018
Outlier Aware Network Embedding for Attributed Networks S. Bandyopadhyay N. Lokesh M. Murty 37 92 0 19 Nov 2018
SepNE: Bringing Separability to Network Embedding Ziyao Li Liang Zhang Guojie Song GNN 28 13 0 14 Nov 2018
Session-based Recommendation with Graph Neural Networks Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan GNN 16 1,543 0 01 Nov 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 33 78 0 25 Oct 2018
Node Representation Learning for Directed Graphs Megha Khosla Jurek Leonhardt Wolfgang Nejdl Avishek Anand 29 55 0 22 Oct 2018
TNE: A Latent Model for Representation Learning on Networks Abdulkadir Çelikkanat Fragkiskos D. Malliaros 22 3 0 16 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 127 1,660 0 14 Oct 2018
Embedding Geographic Locations for Modelling the Natural Environment using Flickr Tags and Structured Data Shelan S. Jeawak Christopher B. Jones Steven Schockaert 28 11 0 12 Oct 2018
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods Aakash Sinha Rémy Cazabet Rémi Vaudaine 16 9 0 11 Oct 2018
Dual Convolutional Neural Network for Graph of Graphs Link Prediction Shonosuke Harada Hirotaka Akita Masashi Tsubaki Yukino Baba Ichigaku Takigawa Yoshihiro Yamanishi H. Kashima GNN AI4CE 24 9 0 04 Oct 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 39 169 0 25 Sep 2018
Improved Deep Embeddings for Inferencing with Multi-Layered Networks Huan Song Jayaraman J. Thiagarajan 60 2 0 20 Sep 2018
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications A. Narayanan C. Soh Lihui Chen Yang Liu Lipo Wang SSL 19 26 0 15 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 22 488 0 14 Sep 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes Yin Cheng Ng Nicolo Colombo Ricardo M. A. Silva BDL 30 89 0 12 Sep 2018
Multi-view Models for Political Ideology Detection of News Articles Vivek Kulkarni Junting Ye Steven Skiena William Yang Wang 25 71 0 10 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
FinBrain: When Finance Meets AI 2.0 Xiaolin Zheng Mengying Zhu Qibing Li Chaochao Chen Yanchao Tan AIFin 34 53 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
Learning Graph Embeddings from WordNet-based Similarity Measures Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Alexander Panchenko GNN 21 17 0 16 Aug 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 33 588 0 12 Aug 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