Graph convolutional neural netwoks (GCNNs) have been emerged to handle graph-structured data in recent years. Most existing GCNNs are either spatial approaches working on neighborhood of each node, or ...

The graphs are based on a percentile analysis. The percentiles for each day are calculated using all the daily observations of temperature or rainfall on record for each month. The Bureau's record ...

The k-core decomposition in a graph is a fundamental problem for social network analysis. The problem of k-core decomposition is to calculate the core number for every node in a graph. Previous ...

High pressure systems are associated with an anticyclonic rotation of air about a central high point in atmospheric surface pressure, which is anticlockwise in the southern hemisphere. The depth of ...

The Dapr Agentic Cloud Ascent (DACA) guide introduces a strategic design pattern for building and deploying sophisticated, scalable, and resilient agentic AI systems. Addressing the complexities of ...