Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump
Summary: SNN encodes a Telegram channel's P&D history with positional attention to forecast target-coin pump probability before scheduled time. Study of 709 P&D events reveals intra-channel homogeneity and inter-channel heterogeneity; code and data on GitHub. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Sihao Hu
- 2. Zhen Zhang
- 3. Shengliang Lu
- 4. Bingsheng He
- 5. Zhao Li
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,451 | Building High Throughput Permissioned Blockchain Fabrics: Challenges and Opportunities | 2020 | VLDB | 6.7525601e-05 |
| 6,923 | GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection | 2021 | SIGMOD | 5.8078615e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,916 | Mining and Forecasting of Big Time-series Data | 2015 | SIGMOD | 5.2443653e-05 |
| 7,564 | Finding Relevant Patterns in Bursty Sequences | 2008 | VLDB | 5.6526664e-05 |
| 10,880 | MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection | 2025 | VLDB | 5.1725247e-05 |
| 12,284 | Parsimonious Linear Fingerprinting for Time Series | 2010 | VLDB | 5.1725247e-05 |
| 4,974 | Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information | 2022 | VLDB | 6.4876072e-05 |
| 8,096 | Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data | 2007 | VLDB | 5.5466158e-05 |
| 4,939 | Decoupled Graph Neural Networks for Large Dynamic Graphs | 2023 | VLDB | 6.50013e-05 |
| 4,171 | On Dense Pattern Mining in Graph Streams [Extended Abstract] | 2010 | VLDB | 6.9203385e-05 |
| 3,344 | Finding Semantics in Time Series | 2011 | SIGMOD | 7.5619842e-05 |
| 5,160 | Online Event-driven Subsequence Matching over Financial Data Streams | 2004 | SIGMOD | 6.4048014e-05 |