Zobrazeno 1 - 10
of 131 616
pro vyhledávání: '"Graph Model"'
Representation learning on text-attributed graphs (TAGs) has attracted significant interest due to its wide-ranging real-world applications, particularly through Graph Neural Networks (GNNs). Traditional GNN methods focus on encoding the structural i
Externí odkaz:
http://arxiv.org/abs/2410.01457
Publikováno v:
Pigment & Resin Technology, 2023, Vol. 53, Issue 6, pp. 1028-1037.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PRT-05-2023-0047
The spatial organization of chromatin within the nucleus plays a crucial role in gene expression and genome function. However, the quantitative relationship between this organization and nuclear biochemical processes remains under debate. In this stu
Externí odkaz:
http://arxiv.org/abs/2409.14425
Publikováno v:
Proceedings of the 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE, 2024. p. 406-416
In IT system operations, shell commands are common command line tools used by site reliability engineers (SREs) for daily tasks, such as system configuration, package deployment, and performance optimization. The efficiency in their execution has a c
Externí odkaz:
http://arxiv.org/abs/2408.05592
We consider the problem of late change-point detection under the preferential attachment random graph model with time dependent attachment function. This can be formulated as a hypothesis testing problem where the null hypothesis corresponds to a pre
Externí odkaz:
http://arxiv.org/abs/2407.18685
In pharmaceutical research, the strategy of drug repurposing accelerates the development of new therapies while reducing R&D costs. Network pharmacology lays the theoretical groundwork for identifying new drug indications, and deep graph models have
Externí odkaz:
http://arxiv.org/abs/2407.07357
Autor:
Borrelli, Dario
This Letter introduces a generalization of known duplication-divergence models for growing random graphs. This general duplication-divergence model includes a new coupled divergence asymmetry rate, which allows to obtain the structure of random growi
Externí odkaz:
http://arxiv.org/abs/2409.16943
Continuous-Time Dynamic Graph (CTDG) precisely models evolving real-world relationships, drawing heightened interest in dynamic graph learning across academia and industry. However, existing CTDG models encounter challenges stemming from noise and li
Externí odkaz:
http://arxiv.org/abs/2407.08500
Publikováno v:
Aquaculture and Fisheries, Vol 9, Iss 6, Pp 1007-1017 (2024)
The community stability of coral reefs and fish is the focus of ecological monitoring of coral reefs. Among them, the realization of effective metrics of variations in reef fish communities (i.e., the combined communities of coral reefs and fish) is
Externí odkaz:
https://doaj.org/article/6d71a4ec0656430eb958dbdfb197298c