Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Mudassir Shabbir"'
Publikováno v:
Neural Computing and Applications. 35:12145-12157
Publikováno v:
IEEE Transactions on Robotics. 38:3550-3563
Publikováno v:
Language Resources and Evaluation. 57:915-944
Publikováno v:
Neurocomputing. 433:108-118
Recent advancements in learning from graph-structured data have shown promising results on the graph classification task. However, due to their high time complexities, making them scalable on large graphs, with millions of nodes and edges, remains a
Publikováno v:
Discrete Applied Mathematics. 292:59-63
Seymour’s Second Neighborhood Conjecture states that every simple oriented graph has a vertex such that the cardinality of its second neighborhood is greater than or equal to the cardinality of its first neighborhood. The conjecture has been shown
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:313-327
Finding an optimal location for a future facility amidst existing sites is a challenging task—and potentially has numerous applications in resource planning. Formally, given a set of candidate sites S and existing sites E, the Optimal Site Selectio
Publikováno v:
2022 30th Mediterranean Conference on Control and Automation (MED).
Publikováno v:
2022 American Control Conference (ACC).
Publikováno v:
IEEE Transactions on Control of Network Systems. 7:1891-1902
In this article, we demonstrate a conflicting relationship between two crucial properties— controllability and robustness —in linear dynamical networks of diffusively coupled agents. In particular, for any given number of nodes $N$ and diameter $
Publikováno v:
Information Sciences. 533:169-180
Graph representations that preserve relevant topological information allow the use of a rich machine learning toolset for data-driven network analytics. Some notable graph representations in the literature are fruitful in their respective application