In this paper, we propose a new approach to implementing hierarchical graph neuron (HGN), an architecture for memorizing patterns of generic sensor stimuli, through the use of vector symbolic ...

Graph pattern mining discovers important patterns in graphs. It is both computation-and memory-intensive, characterized by numerous set operations and irregular memory access. Graph pattern mining ...

The Royal Society of Chemistry has signed the San Francisco Declaration on Research Assessment (DORA), continuing our drive to modernise how we measure excellence in the chemical sciences. We are the ...

This suit was worn by the donor Len Morgan (1923-2005). In the spring of 1941 before the United States entered World War II, Morgan went to Canada and jointed the Royal Canadian Air Force and earned ...

However, bar graphs are seriously limited when data have to be detailed. In this type of graph, different distributions may have exactly the same graphic distribution (Fig 1). An alternative is ...