Results 251 to 260 of about 27,298 (312)
SGEDiff: a subgraph-enriched diffusion model for structure-based 3D molecular generation. [PDF]
Gong C +5 more
europepmc +1 more source
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig +7 more
wiley +1 more source
Towards a hierarchical approach and scalable semi-local centrality for key node identification in weighted complex networks. [PDF]
Kong L, Xie W, Abshirini AA.
europepmc +1 more source
An analysis of the accessory genomes from 77 Escherichia coli O157:H7 strains using network and machine learning techniques uncovers modular communities of plasmid‐related virulence associated with IncF replicons. Accessory markers that are not directly linked to toxin genes can effectively predict the virulence status with an AUC of 0.85, facilitating
Sydney Menzeko Gambushe +1 more
wiley +1 more source
Adaptive graph contrastive learning with hard negative mining for multimodal hyperspectral and LiDAR classification. [PDF]
Wu L, Wang H.
europepmc +1 more source
ABSTRACT This work addresses the challenge of bidirectional trajectory tracking in solar‐powered wheeled mobile robots (WMRs), considering the mechanical structure, actuator‐driver, and power stage subsystems. Notably, this is the first study to explicitly model and control the actuator‐driver subsystem within this context. The proposed solution relies
Benjamin Natanael Santiago‐Nogales +8 more
wiley +1 more source
Design and Analysis of Minimum-Weighted Connected Capacitated Vertex Cover Algorithms for Link Monitoring in IoT-Enabled WSNs. [PDF]
Kol M +3 more
europepmc +1 more source
ABSTRACT The analysis of certain properties of the underlying graph of a public transport network generates insights about the network's structure. Hereby, the choice of the graph representation depends on a trade‐off between complexity reduction and information preservation to adequately model a public transport network.
Michael Palk +2 more
wiley +1 more source
Joint mixed-effects models for causal inference in clustered network-based observational studies. [PDF]
McNealis V, Moodie EE, Dean N.
europepmc +1 more source
Finding Maximum Weight 2‐Packing Sets on Arbitrary Graphs
ABSTRACT A 2‐packing set for an undirected, weighted graph G=(V,E,w) is a subset 𝒮⊆V such that any two vertices v1,v2∈𝒮 are not adjacent and have no common neighbors. The Maximum Weight 2‐Packing Set problem that asks for a 2‐packing set of maximum weight is NP‐hard.
Jannick Borowitz +2 more
wiley +1 more source

