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GSCbench

by Zhouyang Liu ush3r/GSCbench

GSCBench provides exact graph edit distance (GED) supervision for studying in-collection, cross-collection, zero-shot and few-shot graph similarity models. The GSCBench benchmark data comprise 11 collections, 5,523 graphs and 1,903,452 exact graph pairs.

Rows—
Configurations—
Size1.1 GB
License—
AccessPublicly accessible
Monthly Downloads3

Dataset Card

GSCBench provides exact graph edit distance (GED) supervision for studying in-collection, cross-collection, zero-shot and few-shot graph similarity models. The GSCBench benchmark data comprise 11 collections, 5,523 graphs and 1,903,452 exact graph pairs. The repository additionally includes a version of PyG LINUX with isomorphic graphs removed (89 graphs and 3,916 pairs), used as auxiliary data for model pretraining. If you use GSCBench in your research, please cite our paper: The tu prefix identifies TU collections, and ogbogbg-code2 identifies the OGB code2 collection. This PyG LINUX subset has isomorphic graphs removed and is provided to reproduce auxiliary model pretraining.…

Excerpt from the card by Zhouyang Liu.

Details

Repository
ush3r/GSCbench
Publisher
Zhouyang Liu
Task category
Not stated by the source
Tags
graph, graph-edit-distance, graph-matching
Size category
1M<n<10M
Languages
Not stated by the source
Revision
19e81b786cad805eca39f59e52028c74e5f57abd
Last updated
2026-10-06

Files

52 files, 1.1 GB in total.

Data38 files · 438.3 MB
Documentation1 file · 8.8 KB
Other12 files · 615.0 MB
Repository1 file · 2.9 KB
Every file
FileTypeSizeSHA-256
ged_pyg_LINUX/ged_pairs.jsonlData638.3 KB—
ged_pyg_LINUX/graph_id_map.csvData687 B—
ged_pyg_LINUX/graphs.jsonlData15.7 KB—
ogb_ogbg-code2/ged_pairs.jsonlData4.0 MB—
ogb_ogbg-code2/graph_id_map.csvData2.2 KB—
ogb_ogbg-code2/graphs.jsonlData61.3 KB—
release_manifest.csvData433 B—
release_manifest.jsonData1.6 KB—
tu_AIDS/ged_pairs.jsonlData202.0 MBe7f16256f9d8
tu_AIDS/graph_id_map.csvData14.4 KB—
tu_AIDS/graphs.jsonlData301.5 KB—
tu_BZR/ged_pairs.jsonlData14.5 MB036facd0a2ee
tu_BZR/graph_id_map.csvData3.4 KB—
tu_BZR/graphs.jsonlData228.3 KB—
tu_COX2/ged_pairs.jsonlData33.5 MB380894330f0f
tu_COX2/graph_id_map.csvData4.0 KB—
tu_COX2/graphs.jsonlData296.8 KB—
tu_DHFR/ged_pairs.jsonlData55.8 MBe967d0dcc931
tu_DHFR/graph_id_map.csvData6.3 KB—
tu_DHFR/graphs.jsonlData471.0 KB—
tu_ENZYMES/ged_pairs.jsonlData1.4 MB—
tu_ENZYMES/graph_id_map.csvData951 B—
tu_ENZYMES/graphs.jsonlData46.0 KB—
tu_IMDB-BINARY/ged_pairs.jsonlData5.1 MB—
tu_IMDB-BINARY/graph_id_map.csvData2.4 KB—
tu_IMDB-BINARY/graphs.jsonlData191.4 KB—
tu_MUTAG/ged_pairs.jsonlData3.8 MB—
tu_MUTAG/graph_id_map.csvData1.4 KB—
tu_MUTAG/graphs.jsonlData55.4 KB—
tu_NCI1/ged_pairs.jsonlData88.9 MB20da98f672e2
tu_NCI1/graph_id_map.csvData9.4 KB—
tu_NCI1/graphs.jsonlData308.3 KB—
tu_PROTEINS/ged_pairs.jsonlData13.7 MBca4572546d45
tu_PROTEINS/graph_id_map.csvData3.2 KB—
tu_PROTEINS/graphs.jsonlData124.9 KB—
tu_PTC_MR/ged_pairs.jsonlData12.6 MBbe55c6320fbc
tu_PTC_MR/graph_id_map.csvData2.8 KB—
tu_PTC_MR/graphs.jsonlData86.5 KB—
README.mdDocumentation8.8 KB—
ged_pyg_LINUX/data.ptOther1.2 MB892d9c22719a
ogb_ogbg-code2/data.ptOther6.9 MB07b05ae5d770
tu_AIDS/data.ptOther248.9 MB5315cb266f17
tu_BZR/data.ptOther27.2 MB8d77ec9f1af8
tu_COX2/data.ptOther55.5 MBef2d2f4e3516
tu_DHFR/data.ptOther94.6 MB73f515b0ab1c
tu_ENZYMES/data.ptOther2.7 MB0a049d917830
tu_IMDB-BINARY/data.ptOther9.0 MB3f14d0c3beba
tu_MUTAG/data.ptOther6.6 MB5b6e6b649cb7
tu_NCI1/data.ptOther122.9 MB00bbf2f07896
tu_PROTEINS/data.ptOther20.1 MB1cbb607e2e02
tu_PTC_MR/data.ptOther19.4 MBe3cfca15bf1e
.gitattributesRepository2.9 KB—

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Released by Zhouyang Liu through its official repository on Hugging Face.