Giter Club home page Giter Club logo

Comments (5)

vasia avatar vasia commented on June 17, 2024

Here's some feedback on tutorial 1:

  • “let’s get to coding section”: move to intro / tutorial 0
  • explain a bit the first example
  • explain the purpose of the tutorial
  • in "Steps to follow": make a concrete example. Choose the dataset and one method to read it. If you want to explain all ways to load a graph, this should be explained before. The example in fromDataSet, fromCollection, fromTupleDataSet do not refer to the chosen Twitter dataset and this is confusing.

from gelly-school.

vasia avatar vasia commented on June 17, 2024

I see that there's still no concrete example of actually loading the twitter dataset and running the method on it..? You refer to it, but then you introduce all graph creation methods. We should only explain the one we use for this data. It's just an edge list of ids separated by tabs, no?

from gelly-school.

vasia avatar vasia commented on June 17, 2024

The first figure is a bit blurry. I would prefer all code to be properly written and not hand-written actually. We can keep the edge drawing, that's nice ;)

from gelly-school.

samk3211 avatar samk3211 commented on June 17, 2024

What do you really mean by "concrerte example"? I loaded the twitter data set for all creation methods, that's why i refer to all of them. All use it as input. This was just to show the different possibilities provided by Gelly. Aren't these concrete example?

I had created the graph separately using the three methods starting from the twitter data set and that's why then i show also the statistics part for all of them in tutorial2.

from gelly-school.

samk3211 avatar samk3211 commented on June 17, 2024

yes, i know that some figures are blurry. Had told you that will update them

from gelly-school.

Related Issues (14)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.