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Machine Learning for Blockchain Data Analysis: Progress and Opportunities

https://doi.org/10.1145/3728474
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Forecasting Bitcoin Price with Graph Chainlets
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Quantitative Analysis of the Full Bitcoin Transaction Graph
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BitIodine: Extracting Intelligence from the Bitcoin Network
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Dynamic Topic Modelling for Cryptocurrency Community Forums
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The Eye of Horus: Spotting and Analyzing Attacks on Ethereum Smart Contracts
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A Survey on Blockchain Anomaly Detection Using Data Mining Techniques
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Attention-Based Graph Neural Network for Identifying Illicit Bitcoin Addresses
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TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts
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Urban Intelligence and Applications
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Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin
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Large sequence models for sequential decision-making: a survey
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Detecting anomalous cryptocurrency transactions: An AML/CFT application of machine learning-based forensics
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Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis
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Cryptocurrency forecasting with deep learning chaotic neural networks
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Deanonymizing Tor hidden service users through Bitcoin transactions analysis
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Heterogeneous graphs neural networks based on neighbor relationship filtering
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Al-SPSD: Anti-leakage smart Ponzi schemes detection in blockchain
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A Deep Learning-based Cryptocurrency Price Prediction Scheme for Financial Institutions
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Analysis of cryptocurrency transactions from a network perspective: An overview
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Multilayer Social Networks
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Deep learning-based solution for smart contract vulnerabilities detection
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Psycholinguistic and emotion analysis of cryptocurrency discourse on X platform
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Crypto-currencies narrated on tweets: a sentiment analysis approach
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Lecture Notes in Computer Science 1205
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A Survey on Long-Range Attacks for Proof of Stake Protocols
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A Survey of Blockchain From the Perspectives of Applications, Challenges, and Opportunities
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Charting the Landscape of Online Cryptocurrency Manipulation
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A Graph Model Based Blockchain Implementation for Increasing Performance and Security in Decentralized Ledger Systems
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Knowledge Discovery in Cryptocurrency Transactions: A Survey
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Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020
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Ethereum Smart Contract Analysis Tools: A Systematic Review
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Hybrid LSTM and GRU for Cryptocurrency Price Forecasting Based on Social Network Sentiment Analysis Using FinBERT
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2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)
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Fraud Detection in Blockchains using Machine Learning
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2022 Fourth International Conference on Blockchain Computing and Applications (BCCA)
inferredcites →https://doi.org/10.1109/blockchain53845.2021openalex-snapshot
2021 IEEE International Conference on Blockchain (Blockchain)
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2nd International Conference on Software Engineering
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Abnormal Transaction Detection based on Graph Networks
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Anomaly Detection in Blockchain Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/icbc51069.2021.9461050openalex-snapshot
VSCL: Automating Vulnerability Detection in Smart Contracts with Deep Learning
inferredcites →https://doi.org/10.1109/icbc54727.2022openalex-snapshot
2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
inferredcites →https://doi.org/10.1109/icdm.2019.00105openalex-snapshot
ChainNet: Learning on Blockchain Graphs with Topological Features
inferredcites →https://doi.org/10.1109/icdm44384.2018openalex-snapshot
2018 IEEE International Conference on Data Mining (ICDM)
inferredcites →https://doi.org/10.1109/iotsms48152.2019openalex-snapshot
2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS)
inferredcites →https://doi.org/10.1109/iotsms48152.2019.8939256openalex-snapshot
SoliAudit: Smart Contract Vulnerability Assessment Based on Machine Learning and Fuzz Testing
inferredcites →https://doi.org/10.1109/mis.2023.3283170openalex-snapshot
Sentiment Classification of Cryptocurrency-Related Social Media Posts
inferredcites →https://doi.org/10.1109/ntms.2018.8328741openalex-snapshot
Quantitative Description of Internal Activity on the Ethereum Public Blockchain
inferredcites →https://doi.org/10.1109/ntms46557.2019openalex-snapshot
2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS)
inferredcites →https://doi.org/10.1109/ojcs.2023.3245801openalex-snapshot
Financial Crimes in Web3-Empowered Metaverse: Taxonomy, Countermeasures, and Opportunities
inferredcites →https://doi.org/10.1109/qrs57517.2022.00016openalex-snapshot
A BiLSTM-Attention Model for Detecting Smart Contract Defects More Accurately
inferredcites →https://doi.org/10.1109/tcss.2021.3059286openalex-snapshot
Identifying and Analyzing Cryptocurrency Manipulations in Social Media
inferredcites →https://doi.org/10.1109/tdsc.2023.3238412openalex-snapshot
Improving Cryptocurrency Crime Detection: CoinJoin Community Detection Approach
inferredcites →https://doi.org/10.1109/tifs.2023.3347894openalex-snapshot
BABD: A Bitcoin Address Behavior Dataset for Pattern Analysis
inferredcites →https://doi.org/10.1109/tnse.2024.3384499openalex-snapshot
Time-Aware Metapath Feature Augmentation for Ponzi Detection in Ethereum
inferredcites →https://doi.org/10.1109/tnsm.2022.3212917openalex-snapshot
On the Employment of Machine Learning in the Blockchain Selection Process
inferredcites →https://doi.org/10.1109/tpami.2023.3327404openalex-snapshot
Blockchain Data Mining With Graph Learning: A Survey
inferredcites →https://doi.org/10.1109/tsmc.2018.2883678openalex-snapshot
The Anti-Social System Properties: Bitcoin Network Data Analysis
inferredcites →https://doi.org/10.1109/tsmc.2021.3049278openalex-snapshot
Detecting Mixing Services via Mining Bitcoin Transaction Network With Hybrid Motifs
inferredcites →https://doi.org/10.1109/vast50239.2020.00014openalex-snapshot
SilkViser: A Visual Explorer of Blockchain-based Cryptocurrency Transaction Data
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Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
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Measurements, Analyses, and Insights on the Entire Ethereum Blockchain Network
inferredcites →https://doi.org/10.1145/3372136openalex-snapshot
A Survey of IoT Applications in Blockchain Systems
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Empirical review of automated analysis tools on 47,587 Ethereum smart contracts
inferredcites →https://doi.org/10.1145/3409073.3409080openalex-snapshot
Competence of Graph Convolutional Networks for Anti-Money Laundering in Bitcoin Blockchain
inferredcites →https://doi.org/10.1145/3442381.3449916openalex-snapshot
Temporal Analysis of the Entire Ethereum Blockchain Network
inferredcites →https://doi.org/10.1145/3533382openalex-snapshot
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
inferredcites →https://doi.org/10.1145/3580305.3599817openalex-snapshot
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency
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Generative Adversarial Networks for Cyber Threat Hunting in Ethereum Blockchain
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A Framework for User-Centric Visualisation of Blockchain Transactions in Critical Infrastructure
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A Survey on Hypergraph Representation Learning
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Feasibility Analysis for Sybil Attacks in Shard-Based Permissionless Blockchains
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DeFi Survival Analysis: Insights Into the Emerging Decentralized Financial Ecosystem
inferredcites →https://doi.org/10.1145/3640313openalex-snapshot
Machine Learning for Refining Knowledge Graphs: A Survey
inferredcites →https://doi.org/10.1145/3664597openalex-snapshot
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
inferredcites →https://doi.org/10.1145/3696410.3714903openalex-snapshot
CATALOG: Exploiting Joint Temporal Dependencies for Enhanced Phishing Detection on Ethereum
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Long Short-Term Memory
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CT-GCN+: a high-performance cryptocurrency transaction graph convolutional model for phishing node classification
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Evolutionary dynamics of cryptocurrency transaction networks: An empirical study
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An Empirical Analysis of Traceability in the Monero Blockchain
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Bitcoin: A Peer-to-Peer Electronic Cash System
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Breaking Bad: De-Anonymising Entity Types on the Bitcoin Blockchain Using Supervised Machine Learning
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Smart Contract Vulnerability Detection using Graph Neural Network
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BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain
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Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
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Exploring Network Structure, Dynamics, and Function using NetworkX
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Data depth and core-based trend detection on blockchain transaction networks
inferredcites →https://doi.org/10.3390/a13050121openalex-snapshot
Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series
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An Abnormal Account Identification Method by Topology Feature Analysis for Blockchain-Based Transaction Network
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An Organized Repository of Ethereum Smart Contracts’ Source Codes and Metrics
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Dynamics between Bitcoin Market Trends and Social Media Activity
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Time Series Classification of Cryptocurrency Price Trend Based on a Recurrent LSTM Neural Network
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Tracing Transactions Across Cryptocurrency Ledgers
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Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
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Ponzi Scheme Detection in EthereumTransaction Network
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Tutela: An Open-Source Tool for Assessing User-Privacy on Ethereum and Tornado Cash
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Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensics
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Recent Development Trend of Blockchain Technologies: A Patent Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Blockchain Timestamping for Unalterable Concrete Test Logs
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