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Representing a Graph in Java


Representing a Graph in Java

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Representing a Graph in Java
Tag : java , By : user177837
Date : November 28 2020, 09:01 AM

fixed the issue. Will look into that further In general, I would say no: this is not a good approach. A basic graph, where the edges don't have weights, is implemented as a series of nodes with a Many ↔ Many relationship.
So basically your Node would look like this:
public class Node {
    private List<Node> out; 
}

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Representing a graph in XML


Tag : xml , By : D B
Date : March 29 2020, 07:55 AM
this will help Since you have a graph, and not a tree as you first thought, why not use GraphML?

CSV (adjacency matrix) representing a graph, how I use igraph in R to plot graph + edge lengths?


Tag : development , By : deanschang
Date : March 29 2020, 07:55 AM
With these it helps I have a CSV format like this one (representing an adjacency matrix of a graph):
plot(g, edge.label=round(E(g)$weight, 3))

EXCEL Bar Graph - representing only part of the bar graph


Tag : excel , By : B3CFT
Date : March 29 2020, 07:55 AM
wish of those help Hi I'm trying to create a bar graph on Excel where I can highlight part of the bar graph. For instance, for the following table, , Do you want something like this?
1   20  10  70
2   10  10  80
3   5   10  85

Representing a graph in java application


Tag : development , By : T11M
Date : March 29 2020, 07:55 AM
I wish this help you Sounds right. I often extract subgraphs and store them in a TinkerGraph for follow-on processing. I also use GraphSON for serialization. Seems like you're on the right track.
Here are 2 good sources for additional information:

Representing a graph in JSON


Tag : json , By : simonth
Date : March 29 2020, 07:55 AM
Hope this helps Since the DAG's edges hold data, they better have their own identifiers, just like the nodes. That is, the json representation should be composed of three components:
Node records: mapping each node identifier to the node's data. Edge records: mapping each edge identifier to the edge's data.
DAG = {
  "adjacency": {
    "a": ["1", "2"],
    "b": ["3"]
  },
  "nodes": {
    "a": {
      // data
    },
    "b": {
      // data
    },
    "c": {
      // data
    }
  },
  "edges": {
    "1": {
      "from": "a", "to": "b",
      "data": {
        // data
      }
    },
    "2": {
      "from": "a", "to": "b",
      "data": {
        // data
      }
    },
    "3": {
      "from": "b", "to": "c",
      "data": {
        // data
      }
    }
  }
}
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