Results 31 to 40 of about 719 (136)

Modeling Higher-Order Interactions in Graphs Through Combinatorial Arc-Transitive Structure Using Graph Convolutional Network

IEEE Access
The analysis of networks, including social, citation, biological, and traffic networks, has become a critical research area, enabling deeper insights into complex systems across diverse fields.
Qingwei Wen
doaj   +1 more source

Lymphocyte Activation Gene 3 Regulation of Profibrotic Cytokines and Type I Collagen Production in Patients With Systemic Sclerosis

ACR Open Rheumatology, Volume 8, Issue 1, January 2026.
Objective Diffuse cutaneous systemic sclerosis (dcSSc) is characterized by skin and internal organ fibrosis. The regulatory aspects of the immune system involved in maintaining tolerance are still poorly understood in dcSSc. The late checkpoint inhibitory lymphocyte activation gene 3 (LAG‐3) is implicated in T cell inhibition by interacting with its ...
Maithri Aspari, Stinne Greisen, Malene Hvid, Voon H. Ong, Christopher P. Denton, David Abraham, Bent Deleuran   +6 more
wiley   +1 more source

LDC-GAT: A Lyapunov-Stable Graph Attention Network with Dynamic Filtering and Constraint-Aware Optimization

Axioms
Graph attention networks are pivotal for modeling non-Euclidean data, yet they face dual challenges: training oscillations induced by projection-based high-dimensional constraints and gradient anomalies due to poor adaptation to heterophilic structure ...
Liping Chen, Hongji Zhu, Shuguang Han
doaj   +1 more source

Self‐Organizing Ovarian Somatic Organoids Preserve Cellular Heterogeneity and Reveal Cellular Contributions to Ovarian Aging

Aging Cell, Volume 25, Issue 1, January 2026.
We report the development and application of a mouse ovarian somatic organoid model to elucidate a fundamental new understanding of the cell biology of the aging ovarian microenvironment. ABSTRACT Ovarian somatic cells are essential for reproductive function, but no existing ex vivo models recapitulate the cellular heterogeneity or interactions within ...
Shweta S. Dipali, Aubrey Converse, Madison Q. Gowett, Pratik Kamat, Emily J. Zaniker, Abigail Fennell, Teresa Chou, Michele T. Pritchard, Mary Zelinski, Jude M. Phillip, Francesca E. Duncan   +10 more
wiley   +1 more source

Stability-Optimized Graph Convolutional Network: A Novel Propagation Rule with Constraints Derived from ODEs

Mathematics
The node representation learning capability of Graph Convolutional Networks (GCNs) is fundamentally constrained by dynamic instability during feature propagation, yet existing research lacks systematic theoretical analysis of stability control mechanisms.
Liping Chen, Hongji Zhu, Shuguang Han
doaj   +1 more source

Heterophilous Distribution Propagation for Graph Neural Networks

Neural Networks
Graph Neural Networks (GNNs) have achieved remarkable success in various graph mining tasks by aggregating information from neighborhoods for representation learning. The success relies on the homophily assumption that nearby nodes exhibit similar behaviors, while it may be violated in many real-world graphs.
Zhuonan Zheng, Sheng Zhou 0004, Hongjia Xu, Ming Gu 0014, Yilun Xu, Ao Li, Yuhong Li, Jingjun Gu, Jiajun Bu   +8 more
openaire   +3 more sources

Comprehensive Analysis of Macrophage Dynamics, CCBE1, and Their Implications in Colorectal Cancer Microenvironment: Insights Into Tumor Progression and Therapeutic Opportunities

Genetics Research , Volume 2026, Issue 1, 2026.
Background The significance of M2 macrophages in cancer is well established, yet their specific role and the regulatory molecules involved in colorectal cancer remain unclear. Methods Using publicly available single‐cell RNA‐seq data from four colorectal cancer datasets (EMTAB8107, GSE139555, GSE146771, and GSE166555), we evaluated macrophage ...
XiaoFei Fan, ChunYan Zhang, RongRong Gu, Xin Xu, Yingkun Xu   +4 more
wiley   +1 more source

Discovering Invariant Neighborhood Patterns for Heterophilic Graphs

CoRR
This paper studies the problem of distribution shifts on non-homophilous graphs Mosting existing graph neural network methods rely on the homophilous assumption that nodes from the same class are more likely to be linked. However, such assumptions of homophily do not always hold in real-world graphs, which leads to more complex distribution shifts ...
Yang, Jinluan, Zhang, Ruihao, Chen, Zhengyu, Xiao, Teng, Wang, Yueyang, Wu, Fei, Kuang, Kun   +6 more
openaire   +2 more sources

C‐Reactive Protein/Albumin Ratio and Its Relationship With Clinical Parameters in Patients With Fibromyalgia

International Journal of Clinical Practice, Volume 2026, Issue 1, 2026.
Objective This study was designed to evaluate the relationships of the C‐reactive protein (CRP)/albumin ratio (CAR), platelet/lymphocyte ratio (PLR), neutrophil/lymphocyte ratio (NLR), prognostic nutritional index (PNI) values, and clinical parameters in patients with fibromyalgia (FM) syndrome.
Esra Şahingöz Bakırcı, Tuğba Alışık, Nikhat Kaura   +2 more
wiley   +1 more source

An analysis of contractile and protrusive cell behaviors at the superficial surface of the zebrafish neural plate

Developmental Dynamics, Volume 254, Issue 10, Page 1115-1132, October 2025.
Abstract Background The forces underlying convergence and internalization of the teleost neural plate remain unknown. To help understand this morphogenesis, we analyzed collective and individual cell behaviors at the superficial surface of the neural plate as internalization begins to form the neural keel in the hindbrain region of the zebrafish embryo.
Claudio Araya, Raegan Boekemeyer, Francesca Farlie, Lauren Moon, Freshta Darwish, Chris Rookyard, Leanne Allison, Gema Vizcay‐Barrena, Roland Fleck, Millaray Aranda, Masa Tada, Jonathan D. W. Clarke   +11 more
wiley   +1 more source