Question 1

How to implement Dijkstra's algorithm in Go using GoGraph?

Accepted Answer

Import the path package and call the Dijkstra function with your weighted graph instance. The README provides weighted edge examples, and you can pass vertices to compute shortest paths efficiently.

Question 2

GoGraph vs gonum/graph: which is better for Go projects?

Accepted Answer

GoGraph offers a simpler, generic API with essential algorithms, ideal for quick integration and learning. Gonum/graph is part of a larger numerical suite with more advanced features but a steeper curve—choose GoGraph for clarity and gonum for scientific computing.

Question 3

Can GoGraph handle graphs with negative weight edges?

Accepted Answer

Yes, it supports negative weights via the Bellman-Ford algorithm included in the library. The README links to documentation showing how to use it for such cases, though it may be slower than Dijkstra.

Question 4

How to perform a topological sort with GoGraph?

Accepted Answer

Use the topological iterator from the traverse package. The README describes the iterator interface, and you can iterate over vertices in sorted order, useful for dependency resolution in directed acyclic graphs.

Question 5

Is GoGraph thread-safe for concurrent graph updates?

Accepted Answer

No, the library doesn't advertise concurrency features, so you'll need to handle synchronization manually with mutexes if multiple goroutines access the graph, which could impact performance.

Question 6

How to add custom data or attributes to vertices in GoGraph?

Accepted Answer

Vertex labels are generic, so you can use structs or other types, but for extra attributes, you might need to extend the Vertex struct or maintain external maps, as the library focuses on core graph operations.

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