Ethereum Link Prediction
The Ethereum Link Prediction task aims to predict future connections between Ethereum addresses based on historical transaction data. The EX-Graph dataset provides code and experiments specifically designed for Ethereum link prediction. Researchers and developers can leverage this resource to explore and develop models that predict potential connections within the Ethereum network.
Key Features
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Comprehensive Data: The EX-Graph dataset includes a rich collection of Ethereum transaction records and corresponding X data, providing a comprehensive view of the Ethereum network.
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Code and Experiments: The dataset provides code and experiments for Ethereum link prediction, enabling researchers to build and evaluate predictive models.
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Integration with X Data: By incorporating X features associated with Ethereum transactions, the dataset allows for the exploration of correlation between social media activities and Ethereum transactions.
Usage
Researchers can utilize the provided code and experiments to develop and evaluate Ethereum link prediction models. By leveraging the comprehensive data and integration with X features, researchers can gain insights into transaction patterns, network dynamics, and the impact of social media on cryptocurrency markets.
For more details on how to use the EX-Graph dataset for Ethereum link prediction, refer to the documentation and code examples provided.
Leaderboard
Without X Features
Rank | Method | Test AUC-ROC | Test Precision | Test Recall | Test F1 | Contact | References |
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1 | GraphSage | 0.84 | 0.77 | 0.77 | 0.78 | EX-Graph | Link |
2 | Cluster-GCN | 0.82 | 0.78 | 0.7 | 0.74 | EX-Graph | Link |
3 | APPNP | 0.82 | 0.8 | 0.68 | 0.74 | EX-Graph | Link |
4 | GGNN | 0.82 | 0.81 | 0.68 | 0.74 | EX-Graph | Link |
5 | TAGCN | 0.81 | 0.82 | 0.64 | 0.72 | EX-Graph | Link |
6 | DAGNN | 0.79 | 0.77 | 0.67 | 0.72 | EX-Graph | Link |
7 | GAT | 0.77 | 0.73 | 0.67 | 0.7 | EX-Graph | Link |
8 | GATv2 | 0.77 | 0.72 | 0.74 | 0.73 | EX-Graph | Link |
9 | GCN | 0.76 | 0.7 | 0.67 | 0.69 | EX-Graph | Link |
10 | DeepWalk | 0.72 | 0.81 | 0.57 | 0.67 | EX-Graph | Link |
11 | Node2Vec | 0.72 | 0.81 | 0.57 | 0.67 | EX-Graph | Link |
With X Features
Rank | Method | Test AUC-ROC | Test Precision | Test Recall | Test F1 | Contact | References |
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1 | APPNP | 0.89 | 0.83 | 0.78 | 0.81 | EX-Graph | Link |
2 | TAGCN | 0.88 | 0.85 | 0.73 | 0.78 | EX-Graph | Link |
3 | DAGNN | 0.87 | 0.82 | 0.77 | 0.79 | EX-Graph | Link |
4 | GraphSage | 0.86 | 0.81 | 0.79 | 0.8 | EX-Graph | Link |
5 | Cluster-GCN | 0.86 | 0.81 | 0.75 | 0.78 | EX-Graph | Link |
6 | GGNN | 0.84 | 0.79 | 0.73 | 0.76 | EX-Graph | Link |
7 | GCN | 0.81 | 0.81 | 0.77 | 0.75 | EX-Graph | Link |
8 | GAT | 0.81 | 0.75 | 0.76 | 0.75 | EX-Graph | Link |
9 | GATv2 | 0.79 | 0.73 | 0.75 | 0.74 | EX-Graph | Link |
10 | DeepWalk | 0.74 | 0.83 | 0.6 | 0.7 | EX-Graph | Link |
11 | Node2Vec | 0.74 | 0.83 | 0.6 | 0.7 | EX-Graph | Link |