Investigating Similarities Across Decentralized Financial (DeFi) Services
By Junliang Luo, Stefan Kitzler, Pietro Saggese
Rating
1281
Battle Count: 87
Relevance
7/10
Provides insights into DeFi protocol structures and similarities, potentially useful for cross-protocol arbitrage strategies
Implementation Complexity
6/10
Requires understanding of graph representation learning and blockchain data extraction, but uses established algorithms
Reproducibility
4/5
Detailed methodology and data sources provided, but specific implementation details may be needed for full reproduction
About this paper
Methodology: Graph Representation Learning. Problem types: Clustering, Graph Learning.
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