Datasets › hERG

hERG

Introduced by Chaoyang He et al. in FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks14 Apr 2021 archive 2025-07-28

hERG is a large-scale biophysics federated molecular dataset related to cardiac toxicity. It consists of 10,572 compounds, with an average of 29.39 nodes and 94.09 edges in each graph.

Homepage JSON

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

FedML-AI/FedGraphNNpytorch

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Graph Regression

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Graphs

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

hERG

1 variant name, as the archive lists them.

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