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 ...

This paper presents a novel graph reinforcement learning (RL) architecture to solve multi-robot task allocation (MRTA) problems that involve tasks with deadlines and workload, and robot constraints ...

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 Forex Charts offer over real-time graphs with 22 different time frames and flexible line tools. It also presents a vast range of technical indicators (over 70) as Linear Regression, CCI, ADX ...