frankdadale / EA-RGCN
Code using in Paper "Smart Contract Vulnerability Detection Based on Semantic Graph and Residual Graph Convolutional Networks with Edge Attention"
☆16Updated last year
Alternatives and similar repositories for EA-RGCN:
Users that are interested in EA-RGCN are comparing it to the libraries listed below
- A python implementation of Toward Vulnerability Detection for Ethereum Smart Contracts Using Graph-Matching Network.基于图神经网络的以太坊智能合约漏洞检测方法…☆24Updated last year
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆31Updated last year
- ☆12Updated 2 years ago
- ☆39Updated 3 years ago
- Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection☆30Updated last year
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆111Updated last year
- “CBGRU: A Detection method of Smart Contract Vulnerability Based on Hybrid Model”☆9Updated 2 years ago
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆85Updated last year
- Smart Contract Vulnerability Detection Based on Deep Learning. (LSTM, BLSTM, BLSTM+Attention)☆27Updated 5 years ago
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆54Updated 3 years ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆135Updated last year
- LSTM-based smart contract reentry vulnerability detection.☆10Updated 5 years ago
- A Sequence Learning Approach to Detecting Vulnerabilities☆48Updated 3 years ago
- This is the dataset for our TSE paper "Defining Smart Contracts Defects on Ethereum"☆16Updated last month
- ☆17Updated 9 months ago
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)☆23Updated last year
- This is a crawler with a tool of Jsoup. Furthermore. Moreover, there is a python version.☆18Updated 5 years ago
- Evaluation Results for the Paper "EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts"☆13Updated 3 years ago
- Dynamit: Dynamic Vulnerability Detection of Ethereum Smart Contracts Using Machine Learning☆24Updated last year
- ☆21Updated last year
- A project to automatically generate program repair recommendation in the field of smart contracts for given code snippets with their cont…☆13Updated 10 months ago
- ☆11Updated last year
- Smart contract vulnerability detection using graph neural network (DR-GCN).☆148Updated last year
- MANDO-GURU, a deep graph learning-based tool, aims to accurately detect vulnerabilities in smart contract source code at both coarse-grai…☆26Updated last year
- ☆26Updated 2 years ago
- MANDO-HGT is a framework for detecting smart contract vulnerabilities. Given either in source code or bytecode forms, MANDO-HGT adapts he…☆16Updated 11 months ago
- Repository of benchmarks to evaluate Solidity Smart contract analysis tools☆16Updated 4 years ago
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )☆151Updated last year
- Dataset containing source code and deployed bytecode for Solidity Smart Contracts that have been verified on Etherscan.io, along with a c…☆22Updated 2 years ago
- ☆31Updated 2 years ago