Zobrazeno 1 - 10
of 1 048
pro vyhledávání: '"Graph generation"'
Autor:
Muhtar Çağkan Uludağlı, Kaya Oğuz
Publikováno v:
PeerJ Computer Science, Vol 10, p e2483 (2024)
Generating networks with attributes would be useful in computer game development by enabling dynamic social interactions, adaptive storylines, realistic economic systems, ecosystem modelling, urban development, strategic planning, and adaptive learni
Externí odkaz:
https://doaj.org/article/bed5ab3a0ffd4e1a82548622411e9a94
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Graph Neural Networks (GNNs) have gained considerable attention in recent years. Despite the surge in innovative GNN architecture designs, research heavily relies on the same 5-10 benchmark datasets for validation. To address this limitation, several
Externí odkaz:
https://doaj.org/article/5c2fe4029c4546e5ab65eb233231229e
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 179119-179129 (2024)
This study pioneers the application of Graph Attention Networks (GAT) and Graph Neural Networks (GNN), to the emulation of MEMS silicon beams under external loadings, representing a significant advancement in MEMS simulation. The novel augmented grap
Externí odkaz:
https://doaj.org/article/e401c92d9d1d4c82b3c84e30c2a61a74
Publikováno v:
IEEE Access, Vol 12, Pp 122513-122523 (2024)
Scene graph generation (SGG) aims to detect the relationships of objects in an image. Recently, it has been extended to open-set SGG, which also considers unknown objects unseen in a training phase and thereby enables various applications in complex
Externí odkaz:
https://doaj.org/article/8db8465c431440d49d3bb7945b199e05
Publikováno v:
IEEE Access, Vol 12, Pp 116771-116785 (2024)
High-speed path planning is a real-time task that requires vehicles to operate at the edge of their performance limits and holds significant practical importance. However, the significant differences between the simulated training environments and re
Externí odkaz:
https://doaj.org/article/52b92d57b60d4841a4be52bf17112aa4
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 1, Pp 163-171 (2024)
Purposes Aiming at the problem that the randomized neighbor list method of directly disturbing the neighbor list in the existing local differential privacy social network graph generation algorithm will lead to excessive noise and imbalanced privacy
Externí odkaz:
https://doaj.org/article/3f4deebab4d840618e64f390e537482c
Publikováno v:
IEEE Access, Vol 12, Pp 17499-17512 (2024)
Summarization tasks aim to summarize multiple pieces of information into a short description or representative information. A text summarization task summarizes textual information into a short description, whereas an image collection summarization t
Externí odkaz:
https://doaj.org/article/f4b5981ca9334928af1240098688d894
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 7, p 248 (2024)
Spatial community detection is a method that divides geographic spaces into several sub-regions based on spatial interactions, reflecting the regional spatial structure against the background of human mobility. In recent years, spatial community dete
Externí odkaz:
https://doaj.org/article/fe6e1e3fa3c94ff3bae4f3f2c57e61da
Publikováno v:
Sensors, Vol 24, Iss 13, p 4329 (2024)
Scene graphs can enhance the understanding capability of intelligent ships in navigation scenes. However, the complex entity relationships and the presence of significant noise in contextual information within navigation scenes pose challenges for na
Externí odkaz:
https://doaj.org/article/c66e9ccb8e354e41bb680321d32fda76