IEEE

GNN Model Based On Node Classification Forecasting in Social Network

Abstract: In the time of ever-growing technology, engineering, and deep learning methods, one thing that has caught the attention of people is the invention of Neural Networks, also known as ...
IEEE

Federated Graph Augmentation for Semisupervised Node Classification

Abstract: Semisupervised node classification is a prevalent task on graphs, which involves predicting the labels of unlabeled nodes based on limited labeled data available. At present, centralized ...
GitHub

[Feature_or_Tutorial] Be able to add labels descriptions for classification task

Most of the time, when we want to do a classification task, the label alone does not mean much. It would be super relevant and useful to be able to give a text description to each of the ...
SciELO

Out with the old - advancements and shortcomings of the updated 9th edition of the Tumor, Node, Metastasis (TNM) classification system for lung cancer

Objectives: The 9th edition of the Tumor, Node, Metastasis (TNM-9) lung cancer classification is set to replace the 8th edition (TNM-8) starting in 2025. Key updates include the splitting of the ...
Scientific Research Publishing

Perin, E. L. S., De Souza, M. C., De Andrade Silva, J., & Matsubara, E. T. (2025). DynGraph-BERT: Combining BERT and GNN Using Dynamic Graphs for Inductive Semi-Supervised Text ...

ABSTRACT: Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, ...