struc2vec: Learning Node Representations from Structural Identity

11 April 2017

Papers citing "struc2vec: Learning Node Representations from Structural Identity"

27 / 127 papers shown

Title
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations Xiang Yue Zhen Wang Jingong Huang Srinivasan Parthasarathy Soheil Moosavinasab Yungui Huang S. Lin Wen Zhang Ping Zhang Huan Sun GNN 15 325 0 12 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 22 195 0 05 Jun 2019
Relation Structure-Aware Heterogeneous Information Network Embedding Yuanfu Lu C. Shi Linmei Hu Zhiyuan Liu 14 125 0 15 May 2019
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts Alessandro Epasto Bryan Perozzi 14 103 0 06 May 2019
Rep the Set: Neural Networks for Learning Set Representations Konstantinos Skianis Giannis Nikolentzos Stratis Limnios Michalis Vazirgiannis OCL 13 45 0 03 Apr 2019
Deep Adversarial Network Alignment Tyler Derr Hamid Karimi Xiaorui Liu Jiejun Xu Jiliang Tang FedML GAN 11 48 0 27 Feb 2019
Learning Features of Network Structures Using Graphlets Kun Tu Jian Li Don Towsley Dave Braines Liam D. Turner GNN 15 2 0 13 Dec 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 21 92 0 19 Nov 2018
SepNE: Bringing Separability to Network Embedding Ziyao Li Liang Zhang Guojie Song GNN 20 13 0 14 Nov 2018
TNE: A Latent Model for Representation Learning on Networks Abdulkadir Çelikkanat Fragkiskos D. Malliaros 14 3 0 16 Oct 2018
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods Aakash Sinha Rémy Cazabet Rémi Vaudaine 13 9 0 11 Oct 2018
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications A. Narayanan C. Soh Lihui Chen Yang Liu Lipo Wang SSL 11 26 0 15 Sep 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
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
Conditional Network Embeddings Bo Kang Jefrey Lijffijt T. D. Bie 12 44 0 19 May 2018
VERSE: Versatile Graph Embeddings from Similarity Measures Anton Tsitsulin Davide Mottin Panagiotis Karras Emmanuel Müller 4 267 0 13 Mar 2018
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks Yu Shi Huan Gui Qi Zhu Lance M. Kaplan Jiawei Han 39 83 0 05 Mar 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 17 1,899 0 27 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 33 7 0 15 Feb 2018
Learning Role-based Graph Embeddings Nesreen Ahmed Ryan Rossi J. B. Lee Theodore L. Willke R. Zhou Xiangnan Kong Hoda Eldardiry 18 96 0 07 Feb 2018
HONE: Higher-Order Network Embeddings Ryan A. Rossi Nesreen Ahmed Eunyee Koh Sungchul Kim Anup B. Rao Yasin Abbasi-Yadkori 29 22 0 28 Jan 2018
Learning Structural Node Embeddings Via Diffusion Wavelets Claire Donnat Marinka Zitnik David Hallac J. Leskovec GNN DiffM 30 386 0 27 Oct 2017
Analysis of Student Behaviour in Habitable Worlds Using Continuous Representation Visualization Z. Pardos L. Horodyskyj 29 15 0 18 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 44 1,781 0 22 Sep 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 37 1,966 0 17 Sep 2017
Graph Summarization Methods and Applications: A Survey Yike Liu Tara Safavi A. Dighe Danai Koutra 16 138 0 14 Dec 2016