node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 2,628 papers shown

Title
Task-Guided Pair Embedding in Heterogeneous Network Chanyoung Park Donghyun Kim Qi Zhu Jiawei Han Hwanjo Yu 101 20 0 04 Jun 2019
Attributed Graph Clustering via Adaptive Graph Convolution Xiaotong Zhang Han Liu Qimai Li Xiao-Ming Wu GNN 100 299 0 04 Jun 2019
DANE: Domain Adaptive Network Embedding Yizhou Zhang Guojie Song Lun Du Shuwen Yang Yilun Jin OOD 90 79 0 03 Jun 2019
End to end learning and optimization on graphs Bryan Wilder Eric Ewing B. Dilkina Milind Tambe GNN 97 107 0 31 May 2019
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction Ziniu Hu Changjun Fan Ting-Li Chen Kai-Wei Chang Yizhou Sun 71 44 0 31 May 2019
Spotting Collective Behaviour of Online Frauds in Customer Reviews Sarthika Dhawan Siva Charan Reddy Gangireddy Shivani Kumar Tanmoy Chakraborty 109 32 0 31 May 2019
Leveraging Trust and Distrust in Recommender Systems via Deep Learning Dimitrios Rafailidis FedML 28 0 0 31 May 2019
An Unsupervised Framework for Comparing Graph Embeddings B. Kamiński P. Prałat F. Théberge 55 15 0 29 May 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 133 1,425 0 29 May 2019
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering Liwei Wu Hsiang-Fu Yu Nikhil S. Rao James Sharpnack Cho-Jui Hsieh GNN 41 10 0 29 May 2019
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae Piero Molino Yang Wang Jiawei Zhang 64 9 0 28 May 2019
Sublinear Update Time Randomized Algorithms for Dynamic Graph Regression M. H. Chehreghani 50 1 0 28 May 2019
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs Valeria Fionda G. Pirrò 29 6 0 28 May 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 105 465 0 27 May 2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network Hao Wang Tong Xu Qi Liu Defu Lian Enhong Chen Dongfang Du Han Wu Wen Su 84 120 0 27 May 2019
FOBE and HOBE: First- and High-Order Bipartite Embeddings Justin Sybrandt Ilya Safro 68 15 0 27 May 2019
Graph Attention Auto-Encoders Amin Salehi H. Davulcu GNN 82 126 0 26 May 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 139 260 0 25 May 2019
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding Ninghao Liu Qiaoyu Tan Yuening Li Hongxia Yang Jingren Zhou Helen Zhou 89 86 0 25 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach Changjun Fan Li Zeng Yuhui Ding Muhao Chen Yizhou Sun Zhong Liu GNN 77 68 0 24 May 2019
Spring-Electrical Models For Link Prediction Yana Kashinskaya E. Samosvat A. Artikov 21 3 0 24 May 2019
Low-dimensional statistical manifold embedding of directed graphs Thorben Funke Tian Guo Alen Lancic Nino Antulov-Fantulin 63 4 0 24 May 2019
Learning Cross-Domain Representation with Multi-Graph Neural Network Ouyang Yi Bin Guo Xing Tang Xiuqiang He Jian Xiong Zhiwen Yu AI4CE 70 18 0 24 May 2019
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information Bo Kang Dario Garcia-Garcia Jefrey Lijffijt Raúl Santos-Rodríguez T. D. Bie 50 4 0 24 May 2019
Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification Xin Huang Boli Chen Lin Xiao L. Jing 80 36 0 24 May 2019
GLEE: Geometric Laplacian Eigenmap Embedding Leo Torres Kevin S. Chan Tina Eliassi-Rad 47 26 0 23 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 80 233 0 23 May 2019
Gravity-Inspired Graph Autoencoders for Directed Link Prediction Guillaume Salha-Galvan Stratis Limnios Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN CML 115 100 0 23 May 2019
Simulation and Augmentation of Social Networks for Building Deep Learning Models Akanda Wahid-Ul-Ashraf M. Budka Katarzyna Musial GNN 82 10 0 22 May 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 82 160 0 21 May 2019
Joint embedding of structure and features via graph convolutional networks Sébastien Lerique Jacob Levy Abitbol M. Karsai GNN 59 31 0 21 May 2019
Mutual Information Maximization in Graph Neural Networks Xinhan Di Pengqian Yu Rui Bu Mingchao Sun 89 21 0 21 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 136 199 0 18 May 2019
Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks Karan Sikka Lucas Van Bramer Ajay Divakaran 105 2 0 17 May 2019
TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking Chen Qian Lijie Wen Akhil Kumar 33 1 0 16 May 2019
Scalable Graph Embeddings via Sparse Transpose Proximities Yuan Yin Zhewei Wei 70 54 0 16 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 113 296 0 15 May 2019
Relation Structure-Aware Heterogeneous Information Network Embedding Yuanfu Lu C. Shi Linmei Hu Zhiyuan Liu 66 129 0 15 May 2019
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs Lingbing Guo Zequn Sun Wei Hu 94 270 0 13 May 2019
Language in Our Time: An Empirical Analysis of Hashtags Yang Zhang 93 26 0 11 May 2019
Learning Embeddings into Entropic Wasserstein Spaces Charlie Frogner F. Mirzazadeh Justin Solomon 74 32 0 08 May 2019
Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings Iva Gornishka Stevan Rudinac Marcel Worring 31 1 0 07 May 2019
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts Alessandro Epasto Bryan Perozzi 56 104 0 06 May 2019
Representation Learning for Attributed Multiplex Heterogeneous Network Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou Jie Tang GNN 108 435 0 05 May 2019
Network Representation Learning: Consolidation and Renewed Bearing Saket Gurukar Priyesh Vijayan Aakash Srinivasan Goonmeet Bajaj Chen Cai ... Pranav Maneriker Anasua Mitra Vedang Patel Balaraman Ravindran Srinivasan Parthasarathy 78 23 0 02 May 2019
Multimodal Classification of Urban Micro-Events M. Sukel Stevan Rudinac Marcel Worring 62 12 0 30 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 79 24 0 24 Apr 2019
Understanding Art through Multi-Modal Retrieval in Paintings Noa Garcia B. Renoust Yuta Nakashima 36 4 0 24 Apr 2019
Will this Course Increase or Decrease Your GPA? Towards Grade-aware Course Recommendation Sara Morsy George Karypis 39 23 0 22 Apr 2019
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions Bo Kang Jefrey Lijffijt T. D. Bie 66 21 0 22 Apr 2019