Results 41 to 50 of about 484,377 (242)
Community detection in networks: Structural communities versus ground truth
Algorithms to find communities in networks rely just on structural information and search for cohesive subsets of nodes. On the other hand, most scholars implicitly or explicitly assume that structural communities represent groups of nodes with similar ...
Darst, Richard K. +2 more
core +1 more source
Network Embedding Based on k-core Decomposition [PDF]
In recent years, network embedding technology has attracted considerable attention from researchers. However, most network embedding algorithms have not adequately addressed the structural similarity among nodes within the same hierarchical level, even ...
ZHANG Heping, ZHANG Hegui, XIE Xiaoyao, ZHANG Taihua, ZHANG Sicong, YU Guojun
doaj +1 more source
Local pre-processing for node classification in networks : application in protein-protein interaction [PDF]
Network modelling provides an increasingly popular conceptualisation in a wide range of domains, including the analysis of protein structure. Typical approaches to analysis model parameter values at nodes within the network. The spherical locality around
Al Azwari, Sana Mohammad M +4 more
core +1 more source
A Structure Fidelity Approach for Big Data Collection in Wireless Sensor Networks
One of the most widespread and important applications in wireless sensor networks (WSNs) is the continuous data collection, such as monitoring the variety of ambient temperature and humidity.
Mou Wu, Liansheng Tan, Naixue Xiong
doaj +1 more source
ABSTRACT In pediatric patients, T‐cell lymphoblastic lymphoma (T‐LBL) survival exceeds 80%. Relapse remains associated with limited curative options. Frontline treatment is largely extrapolated from T‐cell acute lymphoblastic leukemia (T‐ALL) treatment, reflecting the ongoing debate, whether both entities represent distinct diseases or variants within ...
Marie C. Heider +4 more
wiley +1 more source
Transforming complex network to the acyclic one
Acyclic networks are a class of complex networks in which links are directed and don't have closed loops. Here we present an algorithm for transforming an ordinary undirected complex network into an acyclic one.
Shevchuk, Roman, Snarskii, Andrew
core +1 more source
Not all paths lead to Rome: Analysing the network of sister cities [PDF]
This work analyses the practice of sister city pairing. We investigate structural properties of the resulting city and country networks and present rankings of the most central nodes in these networks. We identify different country clusters and find that
Aragón, Pablo +3 more
core +2 more sources
Heterogeneous Graph Attention Network Based on Data Augmentation [PDF]
Heterogeneous graph is a graph composed of different types of nodes and edges,which can model various types of objects and their relationships in the real world.Heterogeneous graph embedding aims to learn the embedding vectors of nodes by capturing rich ...
YANG Yingxiu, CHEN Hongmei, ZHOU Lihua , XIAO Qing
doaj +1 more source
Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
A Self-Organization Framework for Wireless Ad Hoc Networks as Small Worlds
Motivated by the benefits of small world networks, we propose a self-organization framework for wireless ad hoc networks. We investigate the use of directional beamforming for creating long-range short cuts between nodes.
Afifi, Hossam +5 more
core +1 more source

