Abstract: Recently, deep neural networks have revolutionized the field of link prediction, and the state-of-the-art works are typically subgraph-based discriminative methods, which construct features ...

A new study explores how brain networks differ between patients in early and chronic stages of psychosis, shedding light on ...

Go hands-on and explore relevant real-world projects as you dive into graph neural networks perfect for node prediction, link prediction, and graph classification.

Furthermore, the method incorporates a two-way convolutional neural network to enhance model performance ... In the field of bioinformatics, GCNs are frequently employed for link prediction, because ...

Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in ...

a real-time deep neural network (DNN) transformer based path prediction system for highway and urban Level 2 to Level 4 autonomous driving. The company demonstrates the model’s path prediction ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...