Published November 27, 2023
| Version v1
Computational notebook
Open
Reproducibility for the paper "Using Causality Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs"
- 1. Julius-Maximilians-Universität Würzburg (JMU)
Description
This is a repository to reproduce the results of the paper "Using Causality Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs" accepted at the Temporal Graph Learning Workshop @ NeurIPS 2023.
https://arxiv.org/abs/2310.15865
https://openreview.net/forum?id=meet41uEs8
Files
run_experiment.ipynb
Files
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Additional details
Related works
- Is supplemented by
- arXiv:2310.15865 (arXiv)
Funding
- Swiss National Science Foundation
- Next-Generation Network Analytics for Time Series Data 176938