HD Bedru, S Yu, X Xiao, D Zhang, L Wan, H Guo… - Computer Science …, 2020 - Elsevier
A network is a typical expressive form of representing complex systems in terms of vertices and links, in which the pattern of interactions amongst components of the network is intricate …
K Taha, PD Yoo - IEEE Transactions on Information Forensics …, 2019 - ieeexplore.ieee.org
Low-level criminals, who do the legwork in a criminal organization, are the most likely to be arrested, whereas the high-level ones tend to avoid attention. But crippling the work of …
J Zhan, V Guidibande, SPK Parsa - Journal of Big Data, 2016 - Springer
Because communities are the fundamental component of big data/large data network graphs, community detection in large-scale graphs is an important area to study …
Our objective will be to integrate ML into Fermilab accelerator operations and furthermore provide an accessible framework which can also be used by a broad range of other …
IG Adebayo, Y Sun - 2019 14th IEEE Conference on Industrial …, 2019 - ieeexplore.ieee.org
The continuous occurrence of blackouts due to cascading failures and voltage instability which has the effect of damaging several components within the grid has of recent been …
The development of scalable, representative, and widely adopted benchmarks for graph data systems have been a question for which answers has been sought for decades. We …
R Ortiz Gaona, M Postigo Boix… - … Journal of New …, 2016 - upcommons.upc.edu
Importance of nodes and tie strength are necessary elements to characterize and analyze networks, as well as to study the processes that occur in their interior. We believe that it is …
K Zahirnia, A Sakhuja, O Schulte, P Nadaf, K Li… - arXiv preprint arXiv …, 2021 - arxiv.org
Recent work on graph generative models has made remarkable progress towards generating increasingly realistic graphs, as measured by global graph features such as …