Fast attributed graph embedding via density of states
Given a node-attributed graph, how can we efficiently represent it with few numerical
features that expressively reflect its topology and attribute information? We propose A …
features that expressively reflect its topology and attribute information? We propose A …
Density of states for fast embedding node-attributed graphs
Given a node-attributed graph, how can we efficiently represent it with few numerical
features that expressively reflect its topology and attribute information? We propose a-doge …
features that expressively reflect its topology and attribute information? We propose a-doge …
IEER: Inferring Embedded Email Roles
UA Ejaz, MF Cheema, KU Khan - 2024 - researchsquare.com
In this study, we investigate the use of representation learning techniques for solving
complex problems represented as graphs. To this end, we propose a novel method for …
complex problems represented as graphs. To this end, we propose a novel method for …
Recommending whom to follow on GitHub
MU Sarwar - 2021 - search.proquest.com
Social networking activities on GitHub allow the construction of interesting interaction
networks. One such network isfollow-network'which enables an effective information …
networks. One such network isfollow-network'which enables an effective information …
[图书][B] Kernel Methods for Graph-structured Data Analysis
Z Zhang - 2019 - search.proquest.com
Structured data modeled as graphs arise in many application domains, such as computer
vision, bioinformatics, and sociology. In this dissertation, we focus on three important topics …
vision, bioinformatics, and sociology. In this dissertation, we focus on three important topics …
[引用][C] Density of states for fast embedding node-attributed graphs
Z Lingxiao, S Saurabh, A Leman - 2023 - Springer