Git Product home page Git Product logo

demo-net's Introduction

DEMO-Net

An implementation for "DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification" (KDD'19). [Paper] [arXiv] [Video]

Reference

If you find that DEMO-Net is helpful for your research, please consider to cite our paper:

  @inproceedings{demonet_kdd19,
	author = {Wu, Jun and He, Jingrui and Xu, Jiejun},
	title = {DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification},
	booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
	pages = {406--415},
	year = {2019}
}

Acknowledgement

This is the latest source code of DEMO-Net for KDD-19.

demo-net's People

Contributors

junwu6 avatar chouhanaryan avatar

Watchers

James Cloos avatar

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.