Zobrazeno 1 - 10
of 851
pro vyhledávání: '"DYNAMIC GRAPHS"'
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-13 (2024)
Abstract In this work, we investigate the analysis of generators for dynamic graphs, which are defined as graphs whose topology changes over time. We focus on generated graphs whose order (number of nodes) varies over time. We use a concept called
Externí odkaz:
https://doaj.org/article/332bd89bde72441cb85e969aed8b5868
Publikováno v:
IEEE Access, Vol 12, Pp 43460-43484 (2024)
In recent years, Dynamic Graph (DG) representations have been increasingly used for modeling dynamic systems due to their ability to integrate both topological and temporal information in a compact representation. Dynamic graphs efficiently handle ap
Externí odkaz:
https://doaj.org/article/68b5a75fc99d41acba6d686853a58977
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1359-1381 (2023)
This paper addresses the problem of learning temporal graph representations, which capture the changing nature of complex evolving networks. Existing approaches mainly focus on adding new nodes and edges to capture dynamic graph structures. However,
Externí odkaz:
https://doaj.org/article/b95e3301515c49daa9a051db122451ef
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3516 (2024)
Dynamic Link Prediction (DLP) addresses the prediction of future links in evolving networks. However, accurately portraying the performance of DLP algorithms poses challenges that might impede progress in the field. Importantly, common evaluation pip
Externí odkaz:
https://doaj.org/article/e9a866bc1d40441e8cc3437857aad304
Publikováno v:
Digital Communications and Networks, Vol 8, Iss 6, Pp 1027-1039 (2022)
Faster internet, IoT, and social media have reformed the conventional web into a collaborative web resulting in enormous user-generated content. Several studies are focused on such content; however, they mainly focus on textual data, thus undermining
Externí odkaz:
https://doaj.org/article/ebefb2e80e90499286c142b63ffda472
Publikováno v:
Jisuanji kexue yu tansuo, Vol 16, Iss 10, Pp 2365-2376 (2022)
In the real world, any complex relationships can be represented as graphs, such as communication networks, biological networks, recommendation systems, etc. Link prediction is an important research topic in the field of graphs, but most of the curren
Externí odkaz:
https://doaj.org/article/2f90a2dcc4b340058145cf134d10808a
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035033 (2024)
Representation learning over graph networks has recently gained popularity, with many models showing promising results. However, several challenges remain: (1) most methods are designed for static or discrete-time dynamic graphs; (2) existing continu
Externí odkaz:
https://doaj.org/article/79fc6a030ea24052ab6cdfb1da9ca2b8
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