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Tag: graph

BFS algorithm in Python

Guys! Can someone help me with this bfs code? I can’t understand how to solve this queue line. Answer To extend your queue with all nodes not yet seen on the path, use set operations: or use a generator expression: Lists don’t support subtraction. You don’t really need to filter the nodes, however, your code would work with a simple:

How to trace the path in a Breadth-First Search?

How do you trace the path of a Breadth-First Search, such that in the following example: If searching for key 11, return the shortest list connecting 1 to 11. Answer You should have look at http://en.wikipedia.org/wiki/Breadth-first_search first. Below is a quick implementation, in which I used a list of list to represent the queue of paths. This prints: [‘1’, ‘4’,

What scalability issues are associated with NetworkX?

I’m interested in network analysis on large networks with millions of nodes and tens of millions of edges. I want to be able to do things like parse networks from many formats, find connected components, detect communities, and run centrality measures like PageRank. I am attracted to NetworkX because it has a nice api, good documentation, and has been under

Knight’s Tour using a Neural Network

I was looking at the knights tour problem and decided to have a go at implementing it in python using a neural network to find solutions. The general explanation of the method can be found on Wikipedia While I think I have implemented it correctly (I can’t see anything else that is wrong), it doesn’t work, it updates a few

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