Messi-Q / Simple-neural-networkLinks
neural-network classifier alogritm
☆8Updated 4 years ago
Alternatives and similar repositories for Simple-neural-network
Users that are interested in Simple-neural-network are comparing it to the libraries listed below
Sorting:
- A platform for resource confirmation and infringement tracking is based on react.js and hyperledger farbic.☆11Updated 5 years ago
- This is a crawler with a tool of Jsoup. Furthermore. Moreover, there is a python version.☆18Updated 6 years ago
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆55Updated 4 years ago
- Online ordering system combined with big data statistics☆10Updated 5 years ago
- Smart contract vulnerability detection using graph neural network (DR-GCN).☆150Updated 2 years ago
- This is a repository containing smart contracts based on Ethereum and Vntchain.☆9Updated 5 years ago
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆116Updated 2 years ago
- 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
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆93Updated 2 years ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆139Updated 2 years ago
- Smart Contract Vulnerability Detection Based on Deep Learning. (LSTM, BLSTM, BLSTM+Attention)☆28Updated 5 years ago
- LSTM-based smart contract reentry vulnerability detection.☆10Updated 6 years ago
- Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection☆33Updated 2 years ago
- A Sequence Learning Approach to Detecting Vulnerabilities☆49Updated 3 years ago
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆32Updated last year
- “CBGRU: A Detection method of Smart Contract Vulnerability Based on Hybrid Model”☆11Updated 3 years ago
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )☆178Updated last year
- This is the dataset for our TSE paper "Defining Smart Contracts Defects on Ethereum"☆17Updated 6 months ago
- ☆42Updated 3 years ago
- ☆37Updated 4 years ago
- Extracting graph data from smart contract source code☆13Updated 2 years ago
- ☆30Updated 2 years ago
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)☆24Updated 2 years ago
- ☆22Updated 2 years ago
- ☆13Updated 2 years ago
- Code using in Paper "Smart Contract Vulnerability Detection Based on Semantic Graph and Residual Graph Convolutional Networks with Edge A…☆16Updated 2 years ago
- Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection (TSE Accepted)☆24Updated 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…☆18Updated last year
- A project to automatically generate program repair recommendation in the field of smart contracts for given code snippets with their cont…☆15Updated 3 months ago
- A unified smart contract standard data set.☆45Updated 3 years ago