The phrase "a graph was constructed" is correct and usable in written English.
It can be used in contexts where you are describing the creation or development of a graph, often in academic or technical writing.
Example: "In the analysis section, a graph was constructed to illustrate the relationship between the two variables."
Alternatives: "a graph was created" or "a graph was generated."
Under this test, a graph was constructed with time (in years) and the cumulative number of earthquake events.
A graph was constructed based on the log (2) values of the fold change using MS Excel (Microsoft, USA).
After thoroughly shaking (24 h), the pH of the final solutions was recorded and a graph was constructed by pH versus ΔpH.
A graph was constructed by a supervised learning approach in order to model MRSA-252 global gene function.
Once we obtained the ED30 of both drugs, a graph was constructed by placing in the y-axis of the ED30 point of -CPP and the x-axis point of the ED30 of PPF.
A graph was constructed (not shown), which revealed that log correlation was linearly related to the lag, consistent with an AR1 model, which we used for the analysis presented here.
A graph is constructed using bipartite graph with the number of tasks.
After folding, a graph is constructed using adjacency matrix F, where each column is a vertex and if the entry at the intersection between a row and a column is greater than zero then an edge is constructed between the corresponding vertices.
We consider a set of drugs ({text{C}} = { {text{c}}1,{text{c}}2, ldots }) and a set of proteins ({text{T}} = { {text{t}}1,{text{t}}2, ldots }.) A graph is constructed with nodes from C and T. The weight of an edge between two drug nodes represents the similarity between them and the weight of an edge between protein nodes represents similarity between the linked proteins.
A graph is constructed, with an edge drawn between two nodes (Jaccard clusters) if and only if they are bidirectional best BLASTP matches of each other.
A graph is constructed, where each node represents the inverted pixel intensity in an image (i.e. the dark pixels become bright and bright pixels dark).
