Graph theory and computational modeling reveal that neural network architecture biases the male Caenorhabditis elegans brain toward prioritized sexual behaviors.

BACKGROUND: Preeclampsia affects approximately 1 in 10 pregnancies, leading to severe complications and long-term health ...

Abstract: We investigate tasks that can be accomplished with unlabeled graphs, which are graphs with nodes that do not have persistent or semantically meaningful labels attached. New visualization ...

In February, a user named EricKeller2 posted on Reddit. “I mapped every connection in the Epstein files,” he wrote. He had built a website and database of more than 1.5 million files related to the ...

Plotting Gold Derby's proprietary prediction data reveals the changing fortunes of the contenders throughout the campaign. With only days to go before the 98th Oscars, nearly all of the two dozen ...

Abstract: In this study, we present a scalable method for modeling and visualizing large-scale industrial sensor networks using Graph Neural Network (GNN) principles. By applying the K-Nearest ...

Since its founding in 1868, Oregon State University has grown into an academic community with more than 36,000 students and over 272,000 alumni worldwide. Within OSU lies the School of Electrical ...

Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

The translation of India's extensive traditional knowledge on indigenous medicinal plants into modern therapeutic solutions is contingent upon a systematic framework. While traditional Indian medicine ...