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A Data-centric graph neural network for node classification of heterophilic networks
In the real world, numerous heterophilic networks effectively model the tendency of similar entities to repel each other and dissimilar entities to...
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Minority Representation and Relative Ranking in Sampling Attributed Networks
We explore two questions related to sampling and minorities in attributed networks with homophily. The first question is to investigate sampling...
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Enhancing framelet GCNs with generalized p-Laplacian regularization
Graph neural networks (GNNs) have achieved remarkable results for various graph learning tasks. However, one of the recent challenges for GNNs is to...
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Egocentric Networks Design in Tourism’s Indigenous Social Enterprises
Collaborative networks represent an opportunity for indigenous social enterprises. These networks provide the possibility to bring resources and...
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Attributed Stream-Hypernetwork Analysis: Homophilic Behaviors in Pairwise and Group Political Discussions on Reddit
Complex networks are solid models to describe human behavior. However, most analyses employing them are bounded to observations made on dyadic...
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CausalFD: causal invariance-based fraud detection against camouflaged preference
Fraudsters engage in diverse patterns and deceptive interactions, allowing them to move effortlessly within online networks. However, current fraud...
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Heterophily-Based Graph Neural Network for Imbalanced Classification
Graph neural networks (GNNs) have shown promise in addressing graph-related problems, including node classification. However, in real-world...
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Learning Attribute Distributions Through Random Walks
We investigate the statistical learning of nodal attribute distributions in homophily networks using random walks. Attributes can be discrete or...
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A novel message passing neural network based on neighborhood expansion
Most message passing neural networks (MPNNs) are widely used for assortative network representation learning under the assumption of homophily...
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SimGRL: a simple self-supervised graph representation learning framework via triplets
Recently, graph contrastive learning (GCL) has achieved remarkable performance in graph representation learning. However, existing GCL methods...
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Mechanical communication within the microtubule through network-based analysis of tubulin dynamics
The identification of the mechanisms underlying the transfer of mechanical vibrations in protein complexes is crucial to understand how these...
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Comparing Spectra of Graph Shift Operator Matrices
Typically network structures are represented by one of three different graph shift operator matrices: the adjacency matrix and unnormalised and...
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Text Sentiment in the Age of Enlightenment
Spectator journals published during the Age of Enlightenment served to enhance morality of readers and focused on a plethora of topics, such as the...
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Biomaterial–Cell Tissue Interactions in Surface Engineered Carbon-Based Biomedical Implants and Devices
Implantable prosthesisImplantable prosthesis Surface engineered carbon-based biomedical implants and medical devicesSurface engineered carbon-based...
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Substrate Elasticity as a Probe to Measure Mechanosensing at Cell-Cell and Cell-Matrix Junctions
In vivo, most cells are mechanically and chemically connected to other cells or to a variety of polymeric networks generically called the...
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Mechanobiology of Epidermal Keratinocytes: Desmosomes, Hemidesmosomes, Keratin Intermediate Filaments, and Blistering Skin Diseases
Despite continuous advances in our understanding of the human epidermis and its principal cell type, the keratinocyte, the biophysical mechanisms...
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Microengineering Approach for Directing Embryonic Stem Cell Differentiation
The microenvironment plays an integral role in directing the differentiation of stem cells. The ability to control and manipulate systems on the...
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Aptamers: Versatile Tools for Reagentless Aptasensing
From time to time, the reporting of a “new” bio-component, molecule or reagent contributes to revolutionize a certain field. This happened, for...
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Biomaterial-Cell-Tissue Interactions In Surface Engineered Carbon-Based Biomedical Implants and Devices
Implantable prosthesis and medical devices are subjected to several interacting forces whenever they come in contact with the physiologic systems...