The phrase "amount of graph" is not correct in standard written English.
It is unclear and does not convey a specific meaning without additional context.
Example: "The amount of graph data we collected for the analysis was substantial."
Alternatives: "quantity of graph" or "volume of graph".
Table 7 shows the size of the test graphs, the time spent on the graph exploration phase, the number of CPU cores and the amount of memory used for graph exploration, the time spent on cluster merging phase, the number of clusters that the LRW algorithm finds and the Rand index of the clustering results.
This structure will be redesigned (with identical amount of material), based on graph of Fig. 4, as the proposed model.
This model reveals all the potential parallelism in the application but dramatically increases the amount of vertices in the graph.
The large amount of scatter in the graph of slope factor versus PbA presented in Figure 2 suggests variation in the form of the ln ln relationship between PbB and PbA over the years 1970 2009.
There are two fundamentally important challenges in the era of big graph data [1], namely, developing faster and more efficient graph algorithms and reducing the amount of space required to store the graph on disk or load it into memory [2, 3].
Once the model with the lowest BIC was chosen for each circular area the amount of variation explained was graphed relative to each other sample size (Figure 5b).
Once the model with the lowest BIC was chosen for each circular area the amount of variation explained was graphed relative to each other sample size.
As shown in Eq. 5, i and j are the ID numbers of nodes in the extended graph generated by Algorithm 1, R i s and (R^{prime }_{i})s represent relay junctions between mirror graphs, n is the amount of nodes in a single mirror graph G, while N and T are the total spectrum channels and time periods in SHM.
Which get a huge amount of traffic, here's the graph showing what happened to the server..
To present the vast amount of profile features on this graph, we used principal components analysis (PCA) [17] to reduce the feature space to two dimensions.
