Home › Datasets › task › Graph Classification

Graph Classification datasets

archive 2025-07-28

54 datasets carry the task tag "Graph Classification" (the task itself: Graph Classification), ordered by the archive's paper count. Page 2 of 2: 6 shown of 54. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Graph Classification datasets 49–54 of 54

B-XAIC consists of 50K small molecules represented as graphs and includes 7 graph classification tasks, each with ground truth labels and corresponding explanations.
1 paper · 0 benchmarks
Synthetic graph classification datasets with the task of recognizing the connectivity of same-colored nodes in 4 graphs of varying topology.
1 paper · 0 benchmarks
Eth-ICO (ICO-wallets in Ethereum)
The sampled 2-hop subgraphs centered on ICO-wallet accounts on the Ethereum Interaction graph.
1 paper · 0 benchmarks
Eth-Mining (Mining in Ethereum)
The sampled 2-hop subgraphs centered on Mining accounts on the Ethereum Interaction graph.
1 paper · 0 benchmarks
SPOT-10 (Animal Pattern Benchmark Dataset for Machine Learning Algorithms)
The SPOTS-10 dataset is an extensive collection of grayscale images showcasing diverse patterns found in ten animal species.
1 paper · 1 benchmark
Synthetic Dynamic Networks (from Aging, Fitness Preferential Attachment mechanisms)
This dataset accompanies the paper Learning the mechanisms of network growth' by the same authors.
1 paper · 1 benchmark

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.