Control Flow Analysis Visualization: Result generated by CodeQL can not understand well by human

**CFA(Control Flow Analysis)**
I used the following simple QL statement:
```
/**
* @name Control Flow Graph Visualization
* @description This query identifies control flow nodes within a function and visualizes the control flow graph, helping to understand the flow of execution.
* @kind graph
* @id cpp/control-flow-graph-visualization
* @problem.severity recommendation
* @tags control-flow analysis
* @precision high
* @security-severity 0.0
*/

import cpp
import semmle.code.cpp.controlflow.internal.CFG

from Function f, ControlFlowNode start, ControlFlowNode end, Stmt s1, Stmt s2
where
start.getControlFlowScope() = f and
end.getControlFlowScope() = f and
start.getASuccessor() = end and
f.getFile().getBaseName() = "ip_output.c" and
f.getName() = "__ip_append_data"
select
start,
end,
"This is a control flow from " + start.getEnclosingStmt().toString() + " to " + end.getEnclosingStmt().toString() + " in function " +

f.getQualifiedName()
```

Although I output the control flow of a specific function in formats such as SARIF, DOT, and DGML, the results are not easily understandable by humans. I want to ask if CodeQL provides any other methods for visualizing control flow that can be easily understood by both humans and, if possible, LLMs (large language models).