graphonline | source code of graphonline service

by UnickSoft JavaScript Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | graphonline Summary

graphonline is a JavaScript library typically used in User Interface applications. graphonline has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is source code of graphonline service. Graphonline helps visualize graph and applies a lot of algorithms.

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graphonline has a low active ecosystem.

It has 300 star(s) with 63 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 19 have been closed. On average issues are closed in 77 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of graphonline is current.

Quality

graphonline has 0 bugs and 0 code smells.

Security

graphonline has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

graphonline code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

graphonline is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

graphonline releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

graphonline saves you 50521 person hours of effort in developing the same functionality from scratch.

It has 58696 lines of code, 1171 functions and 4398 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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graphonline Key Features

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graphonline Examples and Code Snippets

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Community Discussions

Trending Discussions on graphonline

How can Dikjstra find the shortest path in this graph?

Generate all unique directed graphs with 2 inputs to each node

QUESTION

How can Dikjstra find the shortest path in this graph?

Asked 2019-Jun-16 at 04:03

I'm having trouble understanding how Dijkstra finds the shortest path (from the way I understand it works) in the following graph if we have to find the shortest path from 0 to 3: https://graphonline.ru/tmp/saved/SH/SHBqKyENwJqcCJGM.png

If the algorithm chooses the smallest weight from 0 and marks 0 as visited, wouldn't it choose node 1 then node 3? how would it choose node 2?

...

ANSWER

Answered 2019-Jun-16 at 03:57

From my understanding, the algorithm recalculates the tentative distances of the neighboring, unvisited, vertices before choosing the next vertex to visit. When you are at 1, you first recalculate the tentative distance of its neighboring unvisted vertices, in this case 3. Then choose the unvisited node with the shortest tentative distance, in this case 2, and visit that node.

Source https://stackoverflow.com/questions/56615632

QUESTION

Generate all unique directed graphs with 2 inputs to each node

Asked 2017-Nov-02 at 15:37

I'm trying to generate all unique digraphs that fit a spec:

each node must have exactly 2 inputs
and are allowed arbitrarily many outputs to other nodes in the graph

My current solution is slow. Eg for 6 nodes, the algo has taken 1.5 days to get where I think it's complete, but it'll probably be checking for a few more days still.

My algorithm for a graph with n nodes:

generate all n-length strings of 0, where one symbol is a 1, eg, for n=3, [[0,0,1], [0,1,0], [1,0,0]]. These can be thought of as rows from an identity matrix.
generate all possible n * n matrixes where each row is all possible combinations of step 1. + step 1.

This is the connectivity matrix where each cell represents a connection from column-index to row-index

So, for n=3, these are possible:

[0,1,0] + [1,0,0] = [1,1,0]
[1,0,0] + [1,0,0] = [2,0,0]

These represent the inputs to a node, and by adding step 1 to itself, the result will always represent 2 inputs.

For ex:

...

ANSWER

Answered 2017-Nov-02 at 15:37

There are a number of approaches you could try. One thing that I do note is that having loops with multi-edges (colored loops?) is a little unusual, but is probably just needs a refinement of existing techniques.

Filter the output of another program

The obvious candidate here is of course nAUTy/traces (http://pallini.di.uniroma1.it/) or similar (saucy, bliss, etc). Depending on how you want to do this, it could be as simple as run nauty (for example) and output to file, then read in the list filtering as you go.

For larger values of n this could start to be a problem if you are generating huge files. I'm not sure whether you start to run out of space before you run out of time, but still. What might be better is to generate and test them as you go, throwing away candidates. For your purposes, there may be an existing library for generation - I found this one but I have no idea how good it is.

Use graph invariants

A very easy first step to more efficient listing of graphs is to filter using graph invariants. An obvious one would be degree sequence (the ordered list of degrees of the graph). Others include the number of cycles, the girth, and so on. For your purposes, there might be some indegree/outdegree sequence you could use.

The basic idea is to use the invariant as a filter to avoid expensive checks for isomorphism. You can store the (list of ) invariants for already generated graphs, and check the new one against the list first. The canonical form of a structure is a kind of invariant.

Implement an algorithm

There are lost of GI algorithms, including the ones used by nauty and friends. However, they do tend to be quite hard! The description given in this answer is an excellent overview, but the devil is in the details of course.

Also note that the description is for general graphs, while you have a specific subclass of graph that might be easier to generate. There may be papers out there for digraph listing (generating) but I have not checked.

Source https://stackoverflow.com/questions/47059507

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Vulnerabilities

No vulnerabilities reported

Install graphonline

You may download offline build. It is ready to run on local machine and includes tuned web server and other software. https://graphonline.ru/en/wiki/Aricles/OfflineVersion.