Amanote Research

Amanote Research

    RegisterSign In

Semi-Supervised Learning and Graph Neural Networks for Fake News Detection

doi 10.1145/3341161.3342958
Full Text
Open PDF
Abstract

Available in full text

Date

August 27, 2019

Authors
Adrien BenamiraBenjamin DevillersEtienne LesotAyush K. RayManal SaadiFragkiskos D. Malliaros
Publisher

ACM


Related search

Graph-Based Semi-Supervised Learning for Relational Networks

2017English

Confidence Estimation for Graph-Based Semi-Supervised Learning

Journal of Software
2012English

Influence of Graph Construction on Semi-Supervised Learning

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

Graph Based Semi-Supervised Learning With Sharper Edges

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

Graph-Based Semi-Supervised Learning for Indoor Localization Using Crowdsourced Data

2017English

Graph Based Multi-Class Semi-Supervised Learning Using Gaussian Process

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

First Error-Based Supervised Learning Algorithm for Spiking Neural Networks

Frontiers in Neuroscience
Neuroscience
2019English

Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms

Applied and Computational Harmonic Analysis
Applied Mathematics
2019English

Normalized LDA for Semi-Supervised Learning

2008English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy