Graph Learning Network (GLN)

Use este identificador para citar ou acessar este item: https://doi.org/10.25824/redu/B3XYDD

DOI:	https://doi.org/10.25824/redu/B3XYDD
Título:	Graph Learning Network (GLN)
Assunto:	Computer and Information Science
Descrição:	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 https://gitlab.com/mipl/graph-learning-network and the datasets are available in https://gitlab.com/mipl/graph-learning-network/-/tree/master/datasets.
Autor(es):	Saire Pilco, Darwin Danilo Ramirez Rivera, Gerberth Adin
URI:	https://doi.org/10.25824/redu/B3XYDD https://redu.unicamp.br/dataset.xhtml?persistentId=doi:10.25824/redu/B3XYDD
Outros identificadores:
Fomento:	Fundação de Amparo à Pesquisa do Estado de São Paulo
Número do Projeto:	FAPESP: 2017/16597-7
Termo de uso:
Data:	1-Mar-2021
Data de Disponibilização:
Formato:
Tipo:
Editora / Evento / Instituição:	Saire Pilco, Darwin
Idioma :
Aparece nas coleções:	Repositório de Dados de Pesquisa da UNICAMP

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