UroToday

The Pelvic Rosetta Classification Project: An Interdisciplinary Proposal for a Lymph Node Map of the Pelvis in Prostate Cancer - Beyond the Abstract

Cross-sectional imaging is an essential component of the diagnostic work-up in patients with suspected or diagnosed prostate cancer (PCa). Commonly used tools like MRI, CT, and prostate-specific ...
GitHub

Error reported by the problem classification node

I have set a strategy in the problem classification node: {"contue_on_error": true, "default-value": [{"key": "class_name", "type": "string", "value": "convert to ...
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, ...
Microsoft

A collective learning framework to boost GNN expressiveness for node classification

Collective Inference (CI) is a procedure designed to boost weak relational classifiers, specially for node classification tasks. Graph Neural Networks (GNNs) are strong classifiers that have been used ...
Scientific Research Publishing

Zhang, Y., Xu, Y. and Zhang, Y. (2023) A Graph Neural Network Node Classification Application Model with Enhanced Node Association. Applied Sciences, 13, Article 7150.

ABSTRACT: Drug repositioning aims to identify new therapeutic applications for existing drugs offering a faster and more cost-effective alternative to traditional drug discovery. Since approved drugs ...
IEEE

GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning

Abstract: Microscopic assessment of histopathology images is vital for accurate cancer diagnosis and treatment. Whole Slide Image (WSI) classification and captioning have become crucial tasks in ...
Frontiers

Application of deep learning based on convolutional neural network model in multimodal ultrasound diagnosis of unexplained cervical lymph node enlargement

This study retrospectively analyzed the multimodal ultrasound features and clinical characteristics of 586 patients with unexplained cervical lymphadenopathy who were treated at three hospitals ...
GitHub

Question about the experiment setting on zero-shot node classification

I want to reproduce the result of 59.59, where ARXIV+PUBMED → CORA and prompt type is NODE EMBEDDING+TEXT ATTRIBUTES.