GithubHelp home page GithubHelp logo

benedekrozemberczki / walklets Goto Github PK

View Code? Open in Web Editor NEW
101.0 9.0 22.0 3.06 MB

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Home Page: https://karateclub.readthedocs.io/

License: GNU General Public License v3.0

Python 100.00%
embedding deepwalk walklet multiscale node-embedding graph-embedding machine-learning dimensionality-reduction word2vec node2vec

walklets's People

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

walklets's Issues

Weighted networks?

Hello!

I am successfully using Walklets so far, so this is more a question than an issue. :)
Is it possible to adapt your code to work with edge-weighted networks?

It is mentioned in your article that this can be done, but being a stranger to this domain I am afraid to do things the wrong way.
The only attempt I made so far was to change this part of the code:

for edge in tqdm(self.G.edges(data=True)):
    self.G[edge[0]][edge[1]]['weight'] = edge[2]['weight'] # 1.0
    self.G[edge[1]][edge[0]]['weight'] = edge[2]['weight'] # 1.0

in file walkers.py. But this actually does not seem to make any difference.

I apologize if my question is irrelevant or has a really easy answer,
Thanks in advance for your help!
Anthony

alias_setup kk error

There may be a mistake in file walkers.py alias_setup() function line 177. I think the
''if q[kk] < 1.0:
smaller.append(kk)
else:
larger.append(kk)''
should be included in for "for kk, prob in enumerate(probs):"

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.