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name
string
domain
string
description
string
num_tables
int64
num_rows
int64
num_tasks
int64
tasks_link_prediction
int64
tasks_multilabel_classification
int64
size_gb
float64
val_timestamp
string
test_timestamp
string
license
string
source_url
string
tgbl-coin
Cryptocurrency transactions
TGB `tgbl-coin`: a cryptocurrency transaction network where nodes are addresses and edges are token transfers over time. Dynamic link-property prediction from the Temporal Graph Benchmark.
2
23,447,972
1
1
0
2.1172
2022-09-02 05:24:09+00:00
2022-09-29 20:11:59+00:00
CC BY-NC
https://tgb.complexdatalab.com/
tgbl-comment
Social (Reddit replies)
TGB `tgbl-comment`: a directed Reddit reply network where users reply to one another's comments over 2.6 years. Dynamic link-property prediction from the Temporal Graph Benchmark.
2
45,309,297
1
1
0
4.3906
2010-08-27 00:34:45+00:00
2010-11-04 02:45:25+00:00
CC BY-NC
https://tgb.complexdatalab.com/
tgbl-flight
Air transport network
TGB `tgbl-flight`: a global air-traffic network where airports are connected by flights over time (2019-2022). Dynamic link-property prediction from the Temporal Graph Benchmark.
2
67,187,713
1
1
0
3.0877
2021-11-29 05:00:00+00:00
2022-05-29 04:00:00+00:00
OpenSky license: non-commercial research and education
https://zenodo.org/record/7323875
tgbl-review
E-commerce reviews
TGB `tgbl-review`: an Amazon product-review network (2008-2018) where users review products in the electronics category; a bipartite, weighted, dynamic link-property-prediction dataset from the Temporal Graph Benchmark.
2
5,226,177
1
1
0
1.363
2016-06-03 00:00:00+00:00
2017-03-07 00:00:00+00:00
Amazon Customer Reviews Library license: academic research only, no commercial use
https://s3.amazonaws.com/amazon-reviews-pds/license.txt
tgbl-review-v2
E-commerce reviews
TGB `tgbl-review-v2`: revised version of `tgbl-review`, an Amazon electronics user-product review network. Dynamic link-property prediction from the Temporal Graph Benchmark.
2
5,226,177
1
1
0
1.363
2016-06-03 00:00:00+00:00
2017-03-07 00:00:00+00:00
Amazon Customer Reviews Library license: academic research only, no commercial use
https://s3.amazonaws.com/amazon-reviews-pds/license.txt
tgbl-wiki
Wikipedia edits
TGB `tgbl-wiki`: a bipartite interaction network of edits between Wikipedia editors and pages over one month. A dynamic link-property-prediction dataset from the Temporal Graph Benchmark.
3
166,701
1
1
0
0.3863
1970-01-22 13:24:13+00:00
1970-01-26 16:11:40+00:00
MIT
https://tgb.complexdatalab.com/
tgbl-wiki-v2
Wikipedia edits
TGB `tgbl-wiki-v2`: revised version of `tgbl-wiki`, a bipartite editor-page edit interaction network from Wikipedia. Dynamic link-property prediction from the Temporal Graph Benchmark.
3
166,701
1
1
0
0.3863
1970-01-22 13:24:13+00:00
1970-01-26 16:11:40+00:00
MIT
https://tgb.complexdatalab.com/
tgbn-trade
International trade
TGB `tgbn-trade`: an international agriculture-trade network (1986-2016) where nodes are nations and yearly edges are trade volumes; a dynamic node-property-prediction (node affinity) dataset from the Temporal Graph Benchmark.
5
934,072
1
0
1
0.0097
2010-01-01 00:00:00+00:00
2014-01-01 00:00:00+00:00
MIT
https://tgb.complexdatalab.com/
thgl-forum
Online forum interactions
TGB `thgl-forum`: a temporal heterogeneous Reddit forum network with users and subreddits as distinct node types and multiple interaction edge types. Heterogeneous dynamic link prediction from the Temporal Graph Benchmark.
4
23,910,523
2
2
0
6.7498
2014-01-22 21:36:03+00:00
2014-01-27 15:59:18+00:00
CC BY-NC 2.0
https://tgb.complexdatalab.com/
thgl-github
GitHub interactions
TGB `thgl-github`: a large temporal heterogeneous GitHub interaction network with multiple node and edge types. Heterogeneous dynamic link prediction from the Temporal Graph Benchmark.
18
23,356,342
14
14
0
1.9665
2024-03-22 02:53:07+00:00
2024-03-26 19:54:34+00:00
CC BY 4.0
https://tgb.complexdatalab.com/
thgl-myket
App store (Myket)
TGB `thgl-myket`: a temporal heterogeneous network of user-app interactions from the Myket Android app market, with multiple node and edge types. Heterogeneous dynamic link prediction from the Temporal Graph Benchmark.
4
55,163,623
2
2
0
5.2129
2020-10-26 15:07:40+00:00
2020-11-25 21:55:12+00:00
CC BY-NC 4.0
https://tgb.complexdatalab.com/
thgl-software
Software interaction network
TGB `thgl-software`: a temporal heterogeneous GitHub interaction network around open-source software repositories, with multiple node and edge types. Heterogeneous dynamic link prediction from the Temporal Graph Benchmark.
18
2,171,733
14
14
0
3.6875
2024-01-23 09:58:00+00:00
2024-01-27 00:34:29+00:00
CC BY 4.0
https://tgb.complexdatalab.com/

TGB in RelBench format

The Temporal Graph Benchmark (TGB) datasets in RelBench format. Labels, splits and official negative samples are TGB's, served as-is (kind: external, evaluator: tgb). Each dataset ships negatives/ and, for heterogeneous graphs, mappings/, which the TGB protocol needs.

family datasets task
tgbl-* link prediction tgbl-wiki, tgbl-wiki-v2, tgbl-review, tgbl-review-v2, tgbl-coin, tgbl-comment, tgbl-flight src-dst-mrr
thgl-* heterogeneous link prediction thgl-software, thgl-forum, thgl-github, thgl-myket edge-type-<k>-mrr
tgbn-* node property prediction tgbn-trade node-label-ndcg
import relbench
ds = relbench.load_dataset("stanford-star/tgb/tgbl-wiki")
task = relbench.load_task("stanford-star/tgb/tgbl-wiki", "src-dst-mrr")

License

Each dataset keeps the license of its upstream source, listed in the license and source_url columns of STATS/databases.parquet. Our contributions (the conversion to this format, schemas, task definitions, splits and statistics) are CDLA-Permissive-2.0.

Citation

Cite the TGB papers (Huang et al., 2023 and the THGB extension; see https://tgb.complexdatalab.com/) and follow the license of each source dataset. For the RelBench-format port:

@inproceedings{relbenchv2,
  title={RelBench v2: A Large-Scale Benchmark and Repository for Relational Data},
  author={Gu, Justin and Ranjan, Rishabh and Kanatsoulis, Charilaos and Tang, Haiming and Jurkovic, Martin and Hudovernik, Valter and Znidar, Mark and Chaturvedi, Pranshu and Shroff, Parth and Li, Fengyu and Leskovec, Jure},
  booktitle={3rd Workshop on Navigating and Addressing Data Problems for Foundation Models (DATA-FM) at ICLR 2026},
  year={2026},
  note={arXiv:2602.12606 [cs.LG]},
  url={https://arxiv.org/abs/2602.12606}
}
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