tgbn_token — Ethereum users and the tokens they transfer (tgbn-token, TGB, 2016-2018)
- Description
A temporal bipartite network of Ethereum addresses ("users") and the ERC20 tokens they sent or received, from April 2016 to June 2018, from the
tgbn-tokendataset of the Temporal Graph Benchmark (TGB), extracted from the token transaction data of Shamsi et al. (Chartalist). For a selection of users, each transfer of a token from or to one of them gives a timestamped edge from the user to the token, with the amount transferred, and whether the user sent or received it (a transfer between two selected users gives two edges). Transfers of a zero amount were removed by TGB. The tokens are identified by the addresses of their contracts.The network has the following properties:
is_token: whether the node is a token (otherwise a user).address: the Ethereum address of the user, or of the contract of the token.- Edge
time: the time of the transfer, in Unix time. - Edge
value: the amount of the token transferred, as given by the data (in the smallest units of the token). - Edge
sender: whether the user sent the amount (otherwise received it).
- Tags
- Economic Cryptocurrency Weighted Multigraph Timestamps Metadata
- Citation
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- S. Huang, F. Poursafaei, J. Danovitch, M. Fey, W. Hu, E. Rossi, J. Leskovec, M. Bronstein, G. Rabusseau, R. Rabbany, "Temporal Graph Benchmark for Machine Learning on Temporal Graphs." Advances in Neural Information Processing Systems 36 (Datasets and Benchmarks Track) (2023) 10.48550/arXiv.2307.01026 Sci-Hub
- K. Shamsi, F. Victor, M. Kantarcioglu, Y. R. Gel, C. G. Akcora, "Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains." Advances in Neural Information Processing Systems 35 (Datasets and Benchmarks Track) (2022) proceedings.neurips.cc
- Upstream URL OK
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https://tgb.complexdatalab.com/docs/nodeprop/
https://github.com/shenyangHuang/TGB
https://www.chartalist.org/ - Upstream license
- CC BY-NC, https://creativecommons.org/licenses/by-nc/4.0/
- Networks
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Tip: hover over a column header for a description.
Column legend
- $\left<k\right>$
- Mean degree
- $\sigma_k$
- Standard deviation of the degrees
- $\lambda_h$
- Largest eigenvalue of the Hashimoto (non-backtracking) matrix
- $\tau$
- Random walk mixing time
- $r$
- Degree assortativity
- $c$
- Global clustering coefficient
- $\oslash$
- (Pseudo-) diameter
- $S$
- Relative size of the largest component
- NPs
- Node properties
- EPs
- Edge properties