Elliptic Bitcoin Illicit Activity Dataset #3815
Merged
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
The Elliptic Data Set, a graph network of Bitcoin transactions with handcrafted features.
There are 203,769 node transactions and 234,355 directed edge payments flows.
In the Elliptic Data Set,
two percent (4,545) are labelled class1 (illicit).
Twenty-one percent (42,019) are labelled class2 (licit).
The remaining transactions are not labelled with regard to licit versus illicit, but have other features.
paper for reference: Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics