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 ...
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 ...
但截至2025年8月，似乎会报警告： [WARNING] Network and explorer-specific api keys are deprecated in favour of the new Etherscan v2 api. Support for v1 is expected to end by May 31st, 2025. To migrate, please ...
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 ...
ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
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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