Results 71 to 80 of about 26,383,033 (201)
Time-dependence of graph theory metrics in functional connectivity analysis [PDF]
Brain graphs provide a useful way to computationally model the network structure of the connectome, and this has led to increasing interest in the use of graph theory to quantitate and investigate the topological characteristics of the healthy brain and brain disorders on the network level.
Sharon Chiang +6 more
openaire +9 more sources
Towards a Maude tool for model checking temporal graph properties [PDF]
We present our prototypical tool for the verification of graph transformation systems. The major novelty of our tool is that it provides a model checker for temporal graph properties based on counterpart semantics for quantified m-calculi.
Lluch-Lafuente, Alberto +4 more
core +1 more source
Altered EEG Brain Networks in Patients with Acute Peripheral Herpes Zoster
Yan Zhou,1– 3 Zhenqin Liu,4 Yuanmei Sun,5 Hao Zhang,1,3 Jianghai Ruan1,3 1Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, People’s Republic of China; 2Department of Neurology, Jianyang People’s Hospital ...
Zhou Y, Liu Z, Sun Y, Zhang H, Ruan J
doaj
Application of graph theory in liver research: A review
Graph theory has emerged as a valuable tool in liver research, aiding in the assessment of complex interactions underlying liver diseases at different organizational levels.
Xumei Hu +7 more
doaj +1 more source
Big graph analysis by visually created workflows
The analysis of large graphs has received considerable attention recently but current solutions are typically hard to use. In this demonstration paper, we report on an effort to improve the usability of the open-source system Gradoop for processing and ...
Rostami, M. Ali +3 more
core +1 more source
In this research, graph theory is applied for two purposes. One is to express the routing of communication and the other is to express the condition of roads.
Graph Theory
core
Regularity in Vague Intersection Graphs and Vague Line Graphs
Fuzzy graph theory is commonly used in computer science applications, particularly in database theory, data mining, neural networks, expert systems, cluster analysis, control theory, and image capturing.
Muhammad Akram +2 more
doaj +1 more source
Graph Homomorphism Revisited for Graph Matching [PDF]
In a variety of emerging applications one needs to decide whether a graph G matches another Gp, i.e., whether G has a topological structure similar to that of Gp. The traditional notions of graph homomorphism and isomorphism often fall short of capturing
Li, Jianzhong +4 more
core
Graph Theory Methods in Analysis of Model Structures [PDF]
The present paper consists of an introduction, in two parts and an appendix. The Introduction is devoted to the definition of the problem and describes, as a whole, the methods used.
Muchnik, I., Borodkin, L., Aven, P.O.
core +1 more source
Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopment disease characterized by impaired social and cognitive abilities. Despite its prevalence, reliable biomarkers for identifying individuals with ASD are lacking.
Hao Luo +7 more
doaj +1 more source

