struc2vec: Learning Node Representations from Structural Identity

11 April 2017

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

50 / 127 papers shown

Title
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 32 131 0 11 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang Qi Liu Zhenya Huang Hao Wang Chengqiang Lu Chuanren Liu Enhong Chen 21 68 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
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 29 96 0 15 Apr 2021
Variational Co-embedding Learning for Attributed Network Clustering Shuiqiao Yang Sunny Verma Borui Cai Jiaojiao Jiang Kun Yu Fang Chen Shui Yu 24 30 0 15 Apr 2021
Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows Nazneen N. Sultana Vinita Baniwal Ansuma Basumatary P. Mittal Supratim Ghosh H. Khadilkar 20 10 0 24 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 45 6 0 27 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 40 26 0 01 Jan 2021
AttrE2vec: Unsupervised Attributed Edge Representation Learning Piotr Bielak Tomasz Kajdanowicz Nitesh V. Chawla SSL 34 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 25 18 0 24 Dec 2020
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images Li Sun Ke Yu Kayhan Batmanghelich SSL 32 23 0 11 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 28 20 0 07 Dec 2020
Massively Parallel Graph Drawing and Representation Learning Christian Böhm Claudia Plant GNN 4 2 0 06 Nov 2020
Embedding Node Structural Role Identity into Hyperbolic Space Lili Wang Ying Lu Chenghan Huang Soroush Vosoughi 14 15 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 19 186 0 30 Oct 2020
Inductive Graph Embeddings through Locality Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez GNN 10 1 0 26 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 42 117 0 11 Sep 2020
Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach Qihang Zhao 10 4 0 06 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 23 12 0 31 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 25 5 0 26 Aug 2020
Big Networks: A Survey H. D. Bedru Shuo Yu Xinru Xiao Da Zhang Liangtian Wan He Guo Feng Xia AI4CE 14 39 0 09 Aug 2020
Exemplar-based Layout Fine-tuning for Node-link Diagrams Jiacheng Pan Wei Chen Xiaodong Zhao Shuyue Zhou Wei Zeng Minfeng Zhu Jian Chen Siwei Fu Yingcai Wu 13 12 0 03 Aug 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 64 932 0 17 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 50 1,586 0 15 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 19 1,273 0 10 Jun 2020
FREDE: Anytime Graph Embeddings Anton Tsitsulin Marina Munkhoeva Davide Mottin Panagiotis Karras Ivan Oseledets Emmanuel Müller 25 34 0 08 Jun 2020
Propositionalization and Embeddings: Two Sides of the Same Coin Nada Lavrac Blaž Škrlj Marko Robnik-Šikonja 10 26 0 08 Jun 2020
Non-Local Graph Neural Networks Meng Liu Zhengyang Wang Shuiwang Ji 24 161 0 29 May 2020
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding Xiyuan Chen Mark Heimann Fatemeh Vahedian Danai Koutra 3DPC 24 5 0 10 May 2020
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark Carl Yang Yuxin Xiao Yu Zhang Yizhou Sun Jiawei Han AI4TS 49 57 0 01 Apr 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs Jingxin Liu Chang Xu Chang Yin Weiqiang Wu You Song GNN 65 47 0 22 Mar 2020
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? Alexandru Mara Jefrey Lijffijt T. D. Bie 40 22 0 25 Feb 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 48 277 0 29 Dec 2019
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning Min Shi Yufei Tang Xingquan Zhu Jianxun Liu GNN 28 11 0 26 Dec 2019
How Robust Are Graph Neural Networks to Structural Noise? James Fox S. Rajamanickam NoLa OOD 14 21 0 21 Dec 2019
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks S. Bandyopadhyay Anirban Biswas Narasimha M. Murty Ramasuri Narayanam GNN 32 16 0 11 Dec 2019
Network Embedding: An Overview Nino Arsov G. Mirceva GNN 19 24 0 26 Nov 2019
GraLSP: Graph Neural Networks with Local Structural Patterns Yilun Jin Guojie Song C. Shi 24 47 0 18 Nov 2019
Unsupervised Attributed Multiplex Network Embedding Chanyoung Park Donghyun Kim Jiawei Han Hwanjo Yu 32 249 0 15 Nov 2019
Link Prediction via Graph Attention Network Weiwei Gu Fei Gao Xiaodan Lou Jiang Zhang GNN HAI 19 14 0 10 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 34 23 0 06 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 20 184 0 26 Aug 2019
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 27 38 0 22 Aug 2019
Cross-domain Network Representations Shan Xue Jie Lu Guangquan Zhang 13 16 0 01 Aug 2019
DeepTrax: Embedding Graphs of Financial Transactions C. Bayan Bruss Anish Khazane Jonathan Rider R. Serpe Antonia Gogoglou Keegan E. Hines AIFin GNN 26 43 0 16 Jul 2019
k-hop Graph Neural Networks Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis 24 104 0 13 Jul 2019
Dynamic Network Embeddings for Network Evolution Analysis Chuanchang Chen Y. Tao Hai Lin 22 7 0 24 Jun 2019