Results 111 to 120 of about 2,499,483 (247)

A BERT-GNN Approach for Metastatic Breast Cancer Prediction Using Histopathology Reports

Diagnostics
Metastatic breast cancer (MBC) continues to be a leading cause of cancer-related deaths among women. This work introduces an innovative non-invasive breast cancer classification model designed to improve the identification of cancer metastases.
Abdullah Basaad , Shadi Basurra , Edlira Vakaj , Ahmed Karam Eldaly , Mohammed M. Abdelsamea    +4 more
doaj   +1 more source

Federated Node Classification over Graphs with Latent Link-type Heterogeneity. [PDF]

Proc Int World Wide Web Conf, 2023
Xie H, Xiong L, Yang C.
europepmc   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

EATSA-GNN: Edge-Aware and Two-Stage attention for enhancing graph neural networks based on teacher–student mechanisms for graph node classification

Graph Neural Networks (GNNs) have fundamentally transformed the way in which we handle and examine data originating from non-Euclidean domains. Traditional approaches to imbalanced node classification problems, such as resampling, are ineffective because
Fofanah, Abdul Joseph, Leigh, Alpha Omar
core   +1 more source

Hypergraph-Based Dynamic Graph Node Classification [PDF]

Node classification on static graphs has achieved significant success, but achieving accurate node classification on dynamic graphs where node topology, attributes, and labels change over time has not been well addressed.
Shao, Minglai, Zhao, Chen, Ma, Xiaoxu, Lin, Yujie   +3 more
core   +1 more source

A Mutual Information-Based Framework for Enhancing Graph Neural Networks on Heterophily

IEEE Access
Graph Neural Networks (GNNs) have demonstrated strong capabilities in analyzing structured data, particularly under the assumption of homophily, where neighboring nodes tend to share similar attributes.
Gahee Kim, Seongjin Choi, Se-Young Yun
doaj   +1 more source

Estimating the prevalence and incidence of symptomatic hand OA in the Netherlands using primary care electronic health records.

Arthritis Care &Research, Accepted Article.
Objective This study estimated the incidence and prevalence of symptomatic hand osteoarthritis (OA) in the Dutch population using a validated algorithm that integrates free‐text data from primary care electronic health records (EHRs). Methods This retrospective cohort study used the Integrated Primary Care Information (IPCI) database, including EHRs ...
Onur Kaya, Jacoline van den Driest, Laura Struik, Margreet Kloppenburg, Ruud Selles, Daniel Prieto Alhambra, Sita Bierma‐Zeinstra, Dieuwke Schiphof   +7 more
wiley   +1 more source

CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection

As a popular task in graph learning, node classification seeks to assign labels to nodes, taking into account both their features and connections. However, an important challenge for its application in real-world scenarios is the presence of newly ...
Chen, J, Zhang, Q, Li, X, Lu, J, Wu, H, Pan, S   +5 more
core   +1 more source

Hypergraph Representation Learning with Weighted- and Clustering-Biased Random Walks

Entropy
Hypergraphs are powerful tools for modeling complex systems because they naturally encode higher-order interactions. However, most existing hypergraph representation-learning methods still struggle to capture such high-order structures, particularly in ...
Li Liang, Shi-Ming Cai, Shi-Cai Gong
doaj   +1 more source

Self-Supervised Node Classification with Strategy and Actively Selected Labeled Set. [PDF]

Entropy (Basel), 2022
Kang Y, Liu K, Cao Z, Zhang J.
europepmc   +1 more source