Please use this identifier to cite or link to this item:
Title: Graph Learning Network (GLN)
Subject: Computer and Information Science
Description: GLN creates a set of node embeddings H(l) that are later combined to produce an intermediary representation H_int​(l). Then, we use the updated node information with the adjacency information to produce a local embedding of the nodes' information H_local(l)​ that is also the output H(l+1). We also broadcast the information of the local embedding to produce a global embedding H_global​(l). We combine the local and global embeddings to predict the next layer adjacency A(l+1). Additionally, we create three Synthetic Graph Datasets: the 3D-Surface, Community, and Geometric Figures. The source code is available in the public repository and the datasets are available in
Authors: Saire Pilco, Darwin Danilo
Ramirez Rivera, Gerberth Adin
Other Identifiers:  
Sponsorship: Fundação de Amparo à Pesquisa do Estado de São Paulo
Sponsor ID: FAPESP: 2017/16597-7
Date: 1-Mar-2021
Available Data:  
Publisher: Saire Pilco, Darwin
Language :  
Appears in Collections:Repositório de Dados de Pesquisa da UNICAMP

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.