node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 1,086 papers shown

Title
DeepWalking Backwards: From Embeddings Back to Graphs Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis GNN 50 13 0 17 Feb 2021
Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking Yunyi Xie Jie Jin Jian Zhang Shanqing Yu Qi Xuan AI4TS 24 11 0 16 Feb 2021
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 98 164 0 15 Feb 2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series Alasdair Tran A. Mathews Cheng Soon Ong Lexing Xie AI4TS AI4CE 28 12 0 15 Feb 2021
Adversarial Attack on Network Embeddings via Supervised Network Poisoning Viresh Gupta Tanmoy Chakraborty AAML 36 12 0 14 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping S. Thakoor Corentin Tallec M. G. Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Velivcković Michal Valko SSL 34 219 0 12 Feb 2021
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice Hugo Latapie Özkan Kiliç Gaowen Liu Yan Yan Ramana Rao Kompella Pei Wang K. Thórisson Adam Lawrence Yuhong Sun Jayanth Srinivasa AI4CE 36 9 0 11 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 60 6 0 27 Jan 2021
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs Dongyuan Li Hao Peng Hongzhi Zhang Yingtong Dou Jianxin Li Philip S. Yu 27 91 0 21 Jan 2021
Chronological Citation Recommendation with Time Preference Shutian Ma Heng Zhang Chengzhi Zhang Xiaozhong Liu CML 40 10 0 19 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
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 84 0 07 Jan 2021
Learn Dynamic-Aware State Embedding for Transfer Learning Kaige Yang 24 1 0 06 Jan 2021
Modularity maximisation for graphons F. Klimm N. Jones Michael T. Schaub 38 1 0 02 Jan 2021
Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks Jiawei Xue Nan Jiang Senwei Liang Qiyuan Pang Takahiro Yabe S. Ukkusuri Jianzhu Ma 47 26 0 01 Jan 2021
AttrE2vec: Unsupervised Attributed Edge Representation Learning Piotr Bielak Tomasz Kajdanowicz Nitesh Chawla SSL 36 13 0 29 Dec 2020
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning Le Yu Leilei Sun Bowen Du Chuanren Liu Weifeng Lv Hui Xiong 33 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 48 18 0 24 Dec 2020
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs Nurendra Choudhary Nikhil S. Rao S. Katariya Karthik Subbian Chandan K. Reddy 21 64 0 23 Dec 2020
GAHNE: Graph-Aggregated Heterogeneous Network Embedding Xiaohe Li Lijie Wen Chen Qian Jianmin Wang 24 5 0 23 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
BERT Goes Shopping: Comparing Distributional Models for Product Representations Federico Bianchi Bingqing Yu Jacopo Tagliabue 38 15 0 17 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 30 118 0 16 Dec 2020
Understanding graph embedding methods and their applications Mengjia Xu 31 129 0 15 Dec 2020
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs Jiarong Xu Yizhou Sun Xin Jiang Yanhao Wang Yang Yang Chunping Wang Jiangang Lu AAML 37 14 0 12 Dec 2020
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images Li Sun Ke Yu Kayhan Batmanghelich SSL 37 23 0 11 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 99 112 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 34 37 0 09 Dec 2020
Unsupervised Adversarially-Robust Representation Learning on Graphs Jiarong Xu Yang Yang Junru Chen Chunping Wang Xin Jiang Jiangang Lu Yizhou Sun SSL AAML OOD 38 36 0 04 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 40 295 0 30 Nov 2020
Cyclic Label Propagation for Graph Semi-supervised Learning Zhao Li Yixin Liu Zhen Zhang Shirui Pan Jianliang Gao Jiajun Bu 21 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 34 138 0 23 Nov 2020
Self-supervised Graph Representation Learning via Bootstrapping Feihu Che Guohua Yang Dawei Zhang J. Tao Pengpeng Shao Tong Liu SSL 13 23 0 10 Nov 2020
Massively Parallel Graph Drawing and Representation Learning Christian Böhm Claudia Plant GNN 14 2 0 06 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 18 13 0 05 Nov 2020
Embedding Node Structural Role Identity into Hyperbolic Space Lili Wang Ying Lu Chenghan Huang Soroush Vosoughi 17 15 0 03 Nov 2020
GAGE: Geometry Preserving Attributed Graph Embeddings Charilaos I. Kanatsoulis N. Sidiropoulos 30 2 0 03 Nov 2020
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs Yunpeng Weng Xu Chen Liang Chen Wei Liu GNN 22 10 0 03 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin 24 186 0 30 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 39 1,080 0 27 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 46 283 0 27 Oct 2020
Disease Normalization with Graph Embeddings D. Pujary C. Thorne Wilker Aziz MedIm AI4CE 39 8 0 24 Oct 2020
Dynamic Contextualized Word Embeddings Valentin Hofmann J. Pierrehumbert Hinrich Schütze 46 52 0 23 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 56 34 0 20 Oct 2020
Multilayer Network Analysis for Improved Credit Risk Prediction María Óskarsdóttir Cristián Bravo 11 42 0 19 Oct 2020
InstantEmbedding: Efficient Local Node Representations Stefan Postavaru Anton Tsitsulin Filipe Almeida Yingtao Tian Silvio Lattanzi Bryan Perozzi 36 20 0 14 Oct 2020
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations Fuli Luo Pengcheng Yang Shicheng Li Xuancheng Ren Xu Sun VLM SSL 21 16 0 13 Oct 2020