duncan-nguyen/gfm-bench

GFM Bench A fixed pretraining pool and a fixed set of unseen evaluation datasets for graph foundation models (GFMs). A single checkpoint is pretrained on pretrain/ only, then evaluated on every eval/ dataset — node classification, link prediction and graph prediction — with only the task head changing. 26 datasets, 6.25 GB of Parquet (zstd). Lossless: every tensor keeps its original shape and dtype from PyG / OGB / LRGB; the export was checked element-for-element against the… See the full description on the dataset page: https://huggingface.co/datasets/duncan-nguyen/gfm-bench.

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