Abstract: In social networks, weighted graph anonymity is gaining more and more attention. But fan-following graphs like Twitter's are not protected by anonymity ...
The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...
Abstract: In this talk, I will present a new combinatorial algorithm for maximum flow that is based on running the weighted push-relabel algorithm introduced in [BBST ...
Abstract: For a multiagent system with a directed graph as its interaction topology, the consensus convergence rate is determined by the algebraic connectivity (the smallest real part of nonzero ...
1 Centre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Edgbaston, United Kingdom 2 School of Mathematics, University of Birmingham, Edgbaston, United Kingdom Trophic ...
Previous research on reasoning frameworks in large language models (LLMs) has explored various approaches to enhance problem-solving capabilities. Chain-of-Thought (CoT) introduced articulated ...
Formally, this directed weighted graph G = (N, E) will consist of a set of nodes N and a set of unweighted/weighted edges E. Explicit assumption for N and E: copyable, comparable (i.e. you can do ==, ...
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