← all datasets

Chi-Geometry

Emerging
1papers using it
2025first seen

Chi-Geometry is a library that generates synthetic graph data specifically designed to evaluate the ability of graph neural networks (GNNs) to predict chirality in a node classification task.

Papers using Chi-Geometry (1)

Chi-Geometry β€” datasets β€” graph-learning