Results 141 to 150 of about 22,751 (263)

IA-GCN: Interactive Graph Convolutional Network for Recommendation [PDF]

Recently, Graph Convolutional Network (GCN) has become a novel state-of-art for Collaborative Filtering (CF) based Recommender Systems (RS). It is a common practice to learn informative user and item representations by performing embedding propagation on
He, Jie, Jin, Junsheng, Liu, Congcong, Shao, Jingping, Lin, Zhangang, Qi, Hao, Peng, Changping, Zhang, Yinan, Wang, Pei, Zhao, Xiwei   +9 more
core   +1 more source

Salivary Viscosity as a Non‐Invasive Candidate Biomarker Associated With Aspiration Risk in Oculopharyngeal Muscular Dystrophy

Journal of Oral Rehabilitation, EarlyView.
Patients with oculopharyngeal muscular dystrophy exhibit disease‐specific salivary hyperviscosity that tracks with dysphagia severity and airway invasion. Non‐invasive chairside screening of salivary viscosity may enable clinicians to stratify aspiration risk during routine care to prevent severe pulmonary complications.
Alex Zvulunov, Rawan Saif, Liraz Olmer, Merav Ben‐David, Limor Benyamini, Amir Dori, Noam Yarom, Lior Greenbaum, Ephraim Tzur, Silvina Friedlander‐Barenboim   +9 more
wiley   +1 more source

Tailoring morphology-controlled bismuth vanadate composite with graphitic carbon nitride for photocatalytic H2 evolution

Materials Today Sustainability
Hydrogen energy serves as a significant and environmentally benign energy source. Photocatalytic water splitting, an exemplary alternative and eco-friendly process, is advantageous as it operates at lower temperatures and requires less energy ...
Oraya Leelaphuthipong, Teera Butburee, Kajornsak Faungnawakij, Metta Chareonpanich, Waleeporn Donphai   +4 more
doaj   +1 more source

Guest Editorial: Graph Representation Learning for Feature Extraction and Signal Processing

CAAI Transactions on Intelligence Technology, EarlyView.
Xin Ning
wiley   +1 more source

Artificial Intelligence in Neonatal Care: The Breadth of Promise, the Depth of Challenge—An Overview

Journal of Paediatrics and Child Health, EarlyView.
ABSTRACT Artificial intelligence (AI) is becoming an integral tool in clinical care. The recent position statement by the Royal Australasian College of Physicians (RACP) provides a timely practical blueprint on implementing and monitoring the use of AI in clinical practice.
N. M. Lai, K. T. Yeo, J. Y. Kong, M. E. Abdel‐Latif   +3 more
wiley   +1 more source

Microbiome and Metabolomics in Obesity: Advances in Understanding and Interventions Across the Lifespan

Obesity Reviews, EarlyView.
ABSTRACT Obesity arises from intertwined and reciprocal diet‐microbiome‐host pathways that reshape energy balance, insulin sensitivity, and inflammation. This review synthesizes mechanistic links between microbial functions and metabolic control, charts lifestyle‐related lifecourse dynamics from birth to older age, examines how GLP‐1‐based therapies ...
Ioanna Panagiota Kalafati, David Krongauz, Alice Bosco, Antonio Noto, Cristina Piras, Maria Kafyra, Angelica Dessì, Matteo Mauri, Luigi Atzori, Adina Weinberger, Vassilios Fanos, George V. Dedoussis, on behalf of the BETTER4U consortium   +12 more
wiley   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

Fc-gcn: A formal concept-enhanced graph convolution network model

Graph convolution network (GCN) is a promising deep learning method, mainly used to process graph data, such as social network, knowledge graph, etc. The basic idea of GCN is to use local information to update the node feature vectors, so as to obtain ...
Wu, Kai, Loia, Vincenzo, Qin, Xueyang, Zhang, Chao, Hao, Fei, Wan, Qing, Park, Kyuwon, Li, Jinhai   +7 more
core   +1 more source

CASARS Recommender Systems: A Systematic Review on Methods, Datasets, Limitations, and Future Directions

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
This paper presents the results of a systematic literature review on recommender systems that simultaneously incorporate the context‐aware and session‐aware recommendation paradigms (CASARS). To provide an overview of this specific research area, our review investigated: (1) which techniques have been employed to model contextual preference from the ...
Matheus Henrique Cecilio Leme, Vinicius Sylvestre Simm, Douglas Rorie Tanno, Marcos Aurelio Domingues   +3 more
wiley   +1 more source

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

Advanced Science, Volume 13, Issue 56, 9 October 2026.
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley   +1 more source