GithubHelp home page GithubHelp logo

yuanchenbei / awesome-multi-label-learning-on-graphs Goto Github PK

View Code? Open in Web Editor NEW
2.0 1.0 0.0 12 KB

A curated list of papers on multi-label learning on graphs (MLLG).

License: MIT License

graph-neural-networks multi-label multi-label-classification multi-label-learning

awesome-multi-label-learning-on-graphs's Introduction

Hi there πŸ‘‹

  • πŸ‘¨β€πŸ’»β€ I am Yuanchen Bei, now a second-year master’s student at the College of Computer Science and Technology, Zhejiang University.

  • 🌱 My research interests currently include graph learning, recommender systems, and multi-modal relation learning.

  • πŸ“« Please kindly reach out to me if you have any questions or cooperation interests πŸ‘―: [email protected].

awesome-multi-label-learning-on-graphs's People

Stargazers

 avatar  avatar

Watchers

 avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    πŸ–– 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. πŸ“ŠπŸ“ˆπŸŽ‰

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.