Graph Neural Networks Push Diabetic Retinopathy Detection Toward Near-Perfect Accuracy
Researchers in India have built a hybrid graph neural network framework that converts retinal images into graph structures, achieving up ...
Researchers in India have built a hybrid graph neural network framework that converts retinal images into graph structures, achieving up ...
Researchers have developed IGA, an unsupervised graph alignment framework that uses isomorphism-aware neural networks to predict anchor links across social ...
Researchers in China have developed a graph-based deep reinforcement learning system that learns to schedule single-armed cluster tools processing multiple ...
Researchers have developed a hybrid model that combines RoBERTa contextual embeddings with sentence-level and chunk-level graph neural networks to improve ...
Researchers have developed NMPPI, a lightweight deep learning framework that predicts protein-protein interactions using only sequence and network structure data ...
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© 2025 Scienmag - Science Magazine