Synthetic and Real-World Data
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/SherylHYX/pytorch_geometric_signed_directed
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资源简介：
该数据集融合了合成数据与真实世界数据，旨在评估图神经网络在带符号有向图上的表现。它支持包括链接符号预测和方向预测在内的多种任务，并提供了不同的分类设置。具体任务涵盖了链接预测、节点分类以及节点聚类。
This dataset combines synthetic and real-world data, aiming to evaluate the performance of Graph Neural Networks (GNNs) on signed directed graphs. It supports multiple tasks including link sign prediction and direction prediction, and provides diverse classification settings. Specific tasks cover link prediction, node classification, and node clustering.
提供机构：
PyTorch Geometric Signed Directed
