Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Edward Giamphy

Biographic Data

ID1856528
NAMEEdward Giamphy
GIVEN NAMESEdward
FAMILY NAMEGiamphy
SIGNATUREGIAMPHY E
AFFILIATIONSLa Rochelle Université
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • A survey on bipartite graphs embedding

    Open Access•Edward Giamphy, Jean-Loup Guillaume et al.•ARTICLE•Social Network Analysis and Mining•2023•References: 37

    Research on graph representation learning (a.k.a. embedding) has received great attention in recent years and shows effective results for various types of networks. Nevertheless, few initiatives have been focused on the particular case of embeddings for bipartite graphs. In this paper, we first define the graph embedding problem in the case of bipartite graphs. Next, we propose a taxonomy of approaches used to tackle this problem and draw a descr…

No prominent works on this page.

  • A survey on bipartite graphs embedding

    Open Access•Edward Giamphy, Jean-Loup Guillaume et al.•ARTICLE•Social Network Analysis and Mining•2023•References: 37

    Research on graph representation learning (a.k.a. embedding) has received great attention in recent years and shows effective results for various types of networks. Nevertheless, few initiatives have been focused on the particular case of embeddings for bipartite graphs. In this paper, we first define the graph embedding problem in the case of bipartite graphs. Next, we propose a taxonomy of approaches used to tackle this problem and draw a descr…

Advanced Graph Neural Networks (1 work) · Artificial Intelligence (1 work) · Bipartite graph (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Embedding (1 work) · Graph (1 work) · Graph embedding (1 work) · Recommender Systems and Techniques (1 work) · Theoretical Computer Science (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae