Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Sybil Detection using Graph Neural Networks
Cover Image

Sybil Detection using Graph Neural Networks

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Heeb, Stuart, Plesner, Andreas, Wattenhofer, Roger
Format: Preprint
Published: 2024
Subjects:
Social and Information Networks
Artificial Intelligence
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2409.08631

Similar Items

  • Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion
    by: de Silva, Anjali, et al.
    Published: (2025)
  • A Community Detection and Graph Neural Network Based Link Prediction Approach for Scientific Literature
    by: Liu, Chunjiang, et al.
    Published: (2024)
  • RoGBot: Relationship-Oblivious Graph-based Neural Network with Contextual Knowledge for Bot Detection
    by: Anshul, Ashutosh, et al.
    Published: (2025)
  • Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
    by: Li, Xiping, et al.
    Published: (2025)
  • Enhancing Social Media Rumor Detection: A Semantic and Graph Neural Network Approach for the 2024 Global Election
    by: Yan, Liu, et al.
    Published: (2025)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar