← all datasets

IGB-3M-19

Emerging
1papers using it
2024first seen

The 'IGB-3M-19' dataset is a benchmark used to evaluate the performance of models on heterogeneous graph learning tasks, specifically focusing on the efficiency and accuracy of inference in graph neural networks.

Papers using IGB-3M-19 (1)

IGB-3M-19 β€” datasets β€” graph-learning