node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 1,116 papers shown

Title
JEFL: Joint Embedding of Formal Proof Libraries Qingxiang Wang C. Kaliszyk 31 0 0 21 Jul 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering Nairouz Mrabah Mohamed Bouguessa M. Touati Riadh Ksantini 52 63 0 19 Jul 2021
A Survey on Role-Oriented Network Embedding Pengfei Jiao Xuan Guo T. Pan Wang Zhang Yulong Pei GNN 26 18 0 18 Jul 2021
Graph Representation Learning for Road Type Classification Zahra Gharaee S. Kowshik Oliver Stromann Michael Felsberg GNN 30 30 0 16 Jul 2021
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis Hejie Cui Wei Dai Yanqiao Zhu Xiaoxiao Li Lifang He Carl Yang 33 27 0 11 Jul 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 26 49 0 30 Jun 2021
Fund2Vec: Mutual Funds Similarity using Graph Learning Vipul K. Satone Dhruv Desai D. Mehta 18 15 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 37 21 0 18 Jun 2021
Anomaly Detection in Dynamic Graphs via Transformer Yixin Liu Shirui Pan Yu Guang Wang Fei Xiong Liang Wang Qingfeng Chen V. C. Lee 39 92 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 49 0 17 Jun 2021
Directed Graph Embeddings in Pseudo-Riemannian Manifolds Aaron Sim Maciej Wiatrak Angus Brayne Páidí Creed Saee Paliwal 26 16 0 16 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Hongzhi Zhang Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 53 541 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 38 301 0 13 Jun 2021
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking Kha Gia Quach Pha Nguyen Huu Le Thanh-Dat Truong C. Duong M. Tran Khoa Luu 33 53 0 12 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 31 455 0 10 Jun 2021
Fairness-Aware Node Representation Learning Öykü Deniz Köse Yanning Shen 37 22 0 09 Jun 2021
Multiple Kernel Representation Learning on Networks Abdulkadir Çelikkanat Yanning Shen Fragkiskos D. Malliaros 38 5 0 09 Jun 2021
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding Narjes Nikzad Khasmakhi M. Feizi-Derakhshi M. Asgari-Chenaghlu M. Balafar Ali Reza Feizi Derakhshi Taymaz Rahkar-Farshi Majid Ramezani Zoleikha Jahanbakhsh-Nagadeh E. Zafarani-Moattar Mehrdad Ranjbar-Khadivi 26 23 0 09 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 24 0 0 07 Jun 2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction Fengtong Xiao Lin Li Weinan Xu Jingyu Zhao Xiaofeng Yang Jun Lang Hao Wang 26 14 0 07 Jun 2021
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks Liang Qu Huaisheng Zhu Ruiqi Zheng Yuhui Shi Hongzhi Yin 30 100 0 05 Jun 2021
Price graphs: Utilizing the structural information of financial time series for stock prediction Junran Wu Ke Xu Xueyuan Chen Shangzhe Li Jichang Zhao AI4TS AIFin 30 53 0 04 Jun 2021
Graph Barlow Twins: A self-supervised representation learning framework for graphs Piotr Bielak Tomasz Kajdanowicz Nitesh Chawla SSL 26 135 0 04 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 40 95 0 03 Jun 2021
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play Wanqi Xue Youzhi Zhang Shuxin Li Xinrun Wang Bo An C. Yeo 41 10 0 02 Jun 2021
Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias Charanraj Thimmisetty Praveen Tiwari Didac Gil Nandini Ramanan Marjorie Sayer Viswesh Ananthakrishnan C. Coelho 39 0 0 29 May 2021
Motif Prediction with Graph Neural Networks Maciej Besta Raphael Grob Cesare Miglioli Nico Bernold Grzegorz Kwa'sniewski ... Raghavendra Kanakagiri Saleh Ashkboos Lukas Gianinazzi Nikoli Dryden Torsten Hoefler 39 38 0 26 May 2021
Graph Based Link Prediction between Human Phenotypes and Genes Rushabh Patel Yanhui Guo 25 18 0 25 May 2021
A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets Cheng Ye Rowan Swiers Stephen Bonner Ian P Barrett 48 13 0 20 May 2021
A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks K. Berahmand E. Nasiri Saman Forouzandeh Yuefeng Li 20 61 0 20 May 2021
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Huixuan Chi Yuying Wang Qinfen Hao Hong Xia GNN 24 11 0 18 May 2021
Improving Graph Neural Networks with Simple Architecture Design S. Maurya Xin Liu T. Murata 26 48 0 17 May 2021
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings Athanasios Efthymiou Stevan Rudinac Monika Kackovic Marcel Worring Nachoem Wijnberg 30 11 0 17 May 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning Ming Jin Yizhen Zheng Yuan-Fang Li Chen Gong Chuan Zhou Shirui Pan SSL 32 153 0 12 May 2021
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders Irene Li Vanessa Yan Tianxiao Li Rihao Qu Dragomir R. Radev SSL 21 17 0 07 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 32 55 0 07 May 2021
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks Keli Zhang Marcus Kalander Min Zhou Xi Zhang Junjian Ye 13 21 0 07 May 2021
Graph Learning: A Survey Feng Xia Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 42 346 0 03 May 2021
Ponzi Scheme Detection in EthereumTransaction Network Shanqing Yu Jie Jin Yunyi Xie Jie Shen Qi Xuan 22 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 53 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 39 30 0 15 Apr 2021
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations Ying Lin H. Wang Jiangning Chen Tong Wang Yue Liu Heng Ji Yang Liu Premkumar Natarajan 26 10 0 06 Apr 2021
NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access Alexander Renz-Wieland Rainer Gemulla Zoi Kaoudi Volker Markl 23 16 0 01 Apr 2021
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT Wai Weng Lo S. Layeghy Mohanad Sarhan M. Gallagher Marius Portmann 38 195 0 30 Mar 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 41 17 0 24 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 42 417 0 14 Mar 2021
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks Xiang Wang Xiaoyong Li Junxing Zhu Zichen Xu Kaijun Ren Weiming Zhang Xinwang Liu Kui Yu 27 5 0 10 Mar 2021
Scalable Hypergraph Embedding System Sepideh Maleki Donya Saless Dennis Paul Wall K. Pingali GNN 21 5 0 09 Mar 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu Chakkrit Tantithamthavorn Li Li Yepang Liu AAML 35 79 0 09 Mar 2021