Published May 14, 2026 | Version v1
Dataset Open

PHEME-Misinformation-Graphs

Authors/Creators

  • 1. ROR icon University of Coimbra

Description

Hugging Face

This dataset contains mathematical graph representations of Twitter conversation cascades from the PHEME 9-Event rumour dataset. It is designed for Graph-Level Binary Classification tasks to detect misinformation spreading dynamics using Graph Neural Networks (GNNs).

Each graph represents a single breaking-news conversation thread. Nodes are individual tweets, and edges represent the "reply-to" network topology.

  • Total Graphs (Cascades): 6,425
  • Task: Binary Classification (Rumour vs. Non-Rumour)
  • Format: PyTorch Geometric (.pt) and NetworkX (.gpickle)

Files

README.md

Files (376.0 MB)

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Additional details

Additional titles

Alternative title
PHEME Misinformation Cascades (PyTorch Geometric)