In this paper, we propose Path-Based Graph Neural Network (PathGNN), which leverages ... in a distributed manner to accommodate unexpected network conditions. PathGNN adopts a novel path-link ...

Abstract: Graph Neural Networks (GNNs) have recently achieved significant success ... We conduct experiments in the link prediction task and our method performs excellently compared with other methods ...

The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...

Apple Notes finally gets backlinks in iOS 17 and macOS Sonoma! Discover how this powerful feature can transform your ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result of a study conducted by physiologists at Friedrich-Alexander-Universität ...

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...

The social network company hopes neuroscience will give it an advantage in the AI race. Back in 2017, Facebook unveiled plans for a brain-reading hat that you could use to text just by thinking.

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...