directed-graph | : package : Node.js weighted directed graphs | Animation library

I am trying to implement a dark theme in ngx-charts. I am quite new in using less. Below is the code

My IDE is complaining Cannot find variable 'color-bg-darker' and compilation fails

Is there any implementation of an algorithm finding all the cycles in a directed multigraph with self edges in Golang ? I found out that the Johnson's algo is the best solution for directed graphs and an implementation is given in gonum but it works only on directed graphs (not multigraphs) and it does not support self edges (actually directed graphs in gonum don't support self edges). Is there any short/clever hack that I can do in gonum to make johnson's work for directed multigraphs with self edges ? Or is there any other implementation in Golang ?

One thing that can be done is to create a dummy node between self edges and the duplicate edges between same pair of nodes. This will remove all self edges and graph will be a directed one and I can use the Johnson's here. But is there any better way ?

I was trying to detect a cycle in a directed graph.
While coming up with the logic to solve it, I figured out that a simple graph traversal eq. dfs is sufficient because while doing dfs we can just have a condition to see if any node is already visited. If so, there must be a cycle.

While, looking up the solution to cross check my logic I came across this solution which says that while doing dfs along with keeping track of the visited nodes you also need to keep track of the nodes in the recursion stack and is a node is already in the recursion stack then there is a cycle- which I do not understand.
Why do we need to keep track of the nodes in the recursion stack when we can simply just check if a node is visited again and conclude there is a cycle?

My goal is to create a knowledge graph using a csv file which includes, source, edge and target. What I have tried so far:

• it is not visible in the image, but I have two edges: 1) used for 2) related to.
• I have target tuples with 20 words.

first image is what I would like to see as a format. second image is the head of my csv data file, the third image shows the failed graph visualization as a result of this code.

I see this related solution D3js Force Directed Graph Link not found

yet I get the error in the title - "VM2128 d3-force-3d:2 Uncaught Error: node not found: golfing_4_1"

I am making a force-directed graph with D3.JS. The sample code is taken from here. While running the live code (here) I am able to parse my personal .JSON files and is able to make the graph. After I copied the following chunk of code offline, I encounter an error on the console as "Uncaught SyntaxError: Unexpected identifier" at const links = data.links.map(d => Object.create(d)); which is 5th line in the following code. I am using Chrome

I have this fiddle example of a simple node-link diagram. I want to change colors of the node that is hovered over and its connected nodes. I also want the links themselves to become larger or bolder. I am basing my code off of an accepted answer I found here. Here is the relevant block of code for the mouseover() function:

When thinking on the visual expression for a workflow, a directed-graph may be one of the first solutions that comes to mind.

My app already leverage ECharts so I'd like to use it as well to generate a graph for my workflow.

Following is a basic example of a nested-directed-workflow:

Is there any component in ECharts that can be used as a container? and be linked to/from (similar to the red "container" in the above image?

UPDATE: created an issue on ECharts Github repo to help drive this forward. Linking between two ECharts Series should be useful for this use-case as well.

I have a networkx.Graph object representing a graph whose nodes represent English words, and whose edges between two wnodes imply that the two words that those nodes represent have at least one shared cognitive synonym between their synsets (i.e. a non-empty intersection). I hope that is interesting or useful background to someone, but my problem is a more widely applicable one relating to graphs, networkx, and Python.

Many induced subgraphs (edge-induced, or vertex-induced) of this graph are both edge disjoint and vertex disjoint, and I'd like to separate these subgraphs into their own networkx.Graph objects such that they're connected and mutually disjoint. It is possible that I'm just using the wrong search terms for the networkx documentation, but I didn't see anything promising related to "disjoint". Here are some examples from a tiny portion of the graph.

I looked through the search results for [networkx] disjoint on Stack Overflow and didn't see what I was looking for. For example, one result talked about getting the induced subgraph when there's already have an edge set to induce from. Or another post talked about trying to draw two disjoint graphs, but that's assuming you already have them. Related to the graph theory aspect of my question, but not the networkx aspect, is that apparently there's such a thing as a flood fill algorithm that might address the part of my question.

Now, for a minimum working example, let's create a small random graph but ensure that it is disconnected.