AIDS is a graph dataset. It consists of 2000 graphs representing molecular compounds which are constructed from the AIDS Antiviral Screen Database of Active Compounds. It contains 4395 chemical compounds, of which 423 belong to class CA, 1081 to CM, and the remaining compounds to CI.
Source: DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model
Image Source: https://www.researchgate.net/figure/Sample-component-in-AIDS-kernel-dataset-with-Graphwave-based-structural-role-colors-Here_fig1_338282222
Variants: AIDS
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Continual Learning | TEST | Advances and Challenges in Foundation … | 2025-03-31 |
| Graph Classification | FIT-GNN | FIT-GNN: Faster Inference Time for … | 2024-10-19 |
| Graph Classification | DGCNN | DGCNN: Disordered Graph Convolutional Neural … | 2017-12-10 |
Recent papers with results on this dataset: