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No Gradients, No GPUs: A Radical Neural Network Breakthrough

No gradients. No GPUs. Discover how Hamiltonian neural networks use logic and low-precision computing to challenge deep learning’s dominance.
GitHub

GraphStorm: Enterprise graph machine learning framework for billion-scale graphs

GraphStorm is an enterprise-grade graph machine learning (GML) framework designed for scalability and ease of use. It simplifies the development and deployment of GML models on industry-scale graphs ...
UroToday

A Split Renal Function-Based Approach for Predicting New Baseline Glomerular Filtration Rate After Radical Nephroureterectomy

Introduction: Accurate prediction of new baseline glomerular filtration rate (NBGFR) after radical nephroureterectomy (RNU) is important for managing upper tract urothelial carcinoma (UTUC) because it ...
IEEE

Protein function prediction using graph neural network with multi-type biological knowledge

Abstract: Proteins play crucial roles in diverse biological functions, and accurately annotating their functions is essential for understanding cellular mechanisms and developing therapies for complex ...