A hybrid Graph Neural Network (GraphSAGE + GATv2) trained on labeled Solana blockchain datasets (SolRPDS, Kaggle Solana, Solarchive) to detect malicious liquidity pools, rug-pull tokens, and fraudulent wallet flows. 1. SolRPDS (Solana Rug Pull Dataset): 62,895 suspicious liquidity pools and 22,195 confirmed rug-pull tokens derived from 3.69 billion transactions. 2. Kaggle Solana Blockchain Dataset: Labeled entity categorization. 3. Solarchive: Partitioned daily Solana Parquet transaction flows.
Independent publisher
Ritesh Das
ritesh-das
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Models on Hugging Face1
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