Awesome Graph Classification download for Windows

This is the Windows app named Awesome Graph Classification whose latest release can be downloaded as Baserelease..zip. It can be run online in the free hosting provider OnWorks for workstations.

 
 

Download and run online this app named Awesome Graph Classification with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS:


Awesome Graph Classification


DESCRIPTION:

A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.



Features

  • Explainable Classification of Brain Networks via Contrast Subgraphs
  • A Simple Yet Effective Baseline for Non-Attribute Graph Classification
  • Multi-Graph Multi-Label Learning Based on Entropy
  • Joint Structure Feature Exploration
  • A Scalable Approach to Size-Independent Network Similarity
  • Regularization for Multi-Task Graph Classification


Programming Language

Python



This is an application that can also be fetched from https://sourceforge.net/projects/awesome-graph-class.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.



Latest Linux & Windows online programs


Categories to download Software & Programs for Windows & Linux