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 ...
Google Search Console’s blind spot is costing you visibility into one of the biggest SERP changes in years. AI Overviews now appear for millions of queries, yet Search Console lumps these impressions ...
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, ...
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 ...
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 ...
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 ...
I want to reproduce the result of 59.59, where ARXIV+PUBMED → CORA and prompt type is NODE EMBEDDING+TEXT ATTRIBUTES.
Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...
Abstract: In the node classification task, it is natural to presume that densely connected nodes tend to exhibit similar attributes. Given this, it is crucial to first define what constitutes a dense ...
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