Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Gogoglou, A."'
Financial transactions constitute connections between entities and through these connections a large scale heterogeneous weighted graph is formulated. In this labyrinth of interactions that are continuously updated, there exists a variety of similari
Externí odkaz:
http://arxiv.org/abs/2007.00591
Graph Representation Learning (GRL) has experienced significant progress as a means to extract structural information in a meaningful way for subsequent learning tasks. Current approaches including shallow embeddings and Graph Neural Networks have mo
Externí odkaz:
http://arxiv.org/abs/2006.10252
With the rising interest in graph representation learning, a variety of approaches have been proposed to effectively capture a graph's properties. While these approaches have improved performance in graph machine learning tasks compared to traditiona
Externí odkaz:
http://arxiv.org/abs/1910.03081
Autor:
Bruss, C. Bayan, Khazane, Anish, Rider, Jonathan, Serpe, Richard, Gogoglou, Antonia, Hines, Keegan E.
Financial transactions can be considered edges in a heterogeneous graph between entities sending money and entities receiving money. For financial institutions, such a graph is likely large (with millions or billions of edges) while also sparsely con
Externí odkaz:
http://arxiv.org/abs/1907.07225
Publikováno v:
In Journal of Informetrics August 2016 10(3):789-813
Autor:
Yannis Manolopoulos, Antonia Gogoglou
Publikováno v:
IEEE Transactions on Big Data. 6:727-740
With the rising interest in predicting the scientific output, various efforts have been made to predict a scientist's $h$ h -index or the citation trajectory of a publication. In this work, we employ a dynamic categorization for scientists to ensure
Publikováno v:
ICMLA
Graph Representation Learning (GRL) has experienced significant progress as a means to extract structural information in a meaningful way for subsequent learning tasks. Current approaches including shallow embeddings and Graph Neural Networks have mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b0914d7c2fa87a3a9b54b31fed06cb5
http://arxiv.org/abs/2006.10252
http://arxiv.org/abs/2006.10252
Publikováno v:
ICAIF
Financial transactions constitute connections between entities and through these connections a large scale heterogeneous weighted graph is formulated. In this labyrinth of interactions that are continuously updated, there exists a variety of similari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baa8c57447e17af4ef7519089e86c872
Autor:
Richard Serpe, Keegan E. Hines, Jonathan Rider, Anish Khazane, Antonia Gogoglou, Max Serpe, C. Bayan Bruss
Publikováno v:
ICMLA
Financial transactions can be considered edges in a heterogeneous graph between entities sending money and entities receiving money. For financial institutions, such a graph is likely large (with millions or billions of edges) while also sparsely con
Autor:
Antonia Gogoglou, Yannis Manolopoulos, Dimitrios Katsaros, Georgios Stoupas, Antonis Sidiropoulos
Publikováno v:
Scientometrics. 116:147-160
Various scientometric indices have been proposed in an attempt to express the quantitative and qualitative characteristics of scientific output. However, fully capturing the performance and impact of a scientific entity (author, journal, institution,