Fault‐Tolerant Mutual‐Visibility: Complexity and Solutions for Grid‐Like Networks
ABSTRACT Networks are often modeled using graphs, and within this setting we introduce the notion of k$$ k $$‐fault‐tolerant mutual visibility. Informally, a set of vertices X⊆V(G)$$ X\subseteq V(G) $$ in a graph G$$ G $$ is a k$$ k $$‐fault‐tolerant mutual‐visibility set (k$$ k $$‐ftmv set) if any two non‐adjacent vertices in X$$ X $$ are connected by
Serafino Cicerone +3 more
wiley +1 more source
Multiview Hypergraph Fusion Network for Change Detection in High-Resolution Remote Sensing Images
Currently, convolutional neural networks and transformers have been the dominant paradigms for change detection (CD) thanks to their powerful local and global feature extraction capabilities. However, with the improvement of resolution, spatial, spectral,
Xue Zhao +5 more
doaj +1 more source
ABSTRACT Cognitive diagnosis aims to infer learners' knowledge states from their exercise responses, enabling personalised education at scale. Existing methods represent exercises solely by coarse‐grained knowledge component annotations, overlooking semantic content and step‐level cognitive processes.
Youheng Bai +4 more
wiley +1 more source
Maximal independence and regularity of Al/Si distributions in disordered phyllosilicates 2:1
The distribution of aluminium cations in disordered phyllosilicates is analysed according to the concepts of maximal independence and regularity.As an extension of previous works, we analyse regularity in disordered Al/Si distributions in phyllosilicates 2:1. The method is based on an analysis of maximal independent sets in a labelled quotient graph of
Montauban Moreira de Oliveira Jr +1 more
wiley +1 more source
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation [PDF]
Social relations are often used to improve recommendation quality when user-item interaction data is sparse in recommender systems. Most existing social recommendation models exploit pairwise relations to mine potential user preferences.
Zhang, Xiangliang +12 more
core +1 more source
Clusterix: A Hybrid Visualization Model for Hierarchically Clustered Networks
Abstract We introduce Clusterix, a novel hybrid visualization model for representing hierarchically clustered networks, which also supports directed and weighted edges. Clusterix offers an integrated view of both the network and its full cluster hierarchy by compactly visualizing the cluster inclusion tree enriched with links of the network.
Carla Binucci +6 more
wiley +1 more source
Recent Experiences and Future Developments on the Validation of Finite Element Models for Spaceflight Hardware [PDF]
Uncertainties quantification in simulation results and experimental data is a fundamental aspect in validation of finite element (FE) models [1]. Some methodologies and procedures for model updating and validation of spacecraft structural dynamics models
D’Amico, J. +2 more
core
Soft hypergraph for modeling global interactions via social media networks
Soft set theory is a map of a set of parameters to the subsets of a universe which can be utilized to parametrically model the uncertainty. On the other hand, Graph (hypergraph) theory is used to simplify some practical problems.
Cheng, Chun +5 more
core +1 more source
Semisupervised Hypergraph Discriminant Learning for Dimensionality Reduction of Hyperspectral Image
Semisupervised learning is an effective technique to represent the intrinsic features of a hyperspectral image (HSI), which can reduce the cost to obtain the labeled information of samples.
Fulin Luo +4 more
doaj +1 more source
CAnDE: Entity‐Based Relationship Exploration Using a Cards and Decks Metaphor
We present CAnDE, a visual analytics approach for exploring dynamically defined entities in digital criminal data. Inspired by evidence boards, CAnDE uses a cards and decks metaphor that maps complex concepts to familiar interactions, including rotating, flipping and stacking cards.
K. A. Roggenbuck +2 more
wiley +1 more source

