yuanqi7 / Phishing-Detection-on-Ethereum
As the most famous application of blockchain, cryptocurrency has suffered huge economic losses due to phishing scams. Our work shares phishing account information from Etherscan and the code for how to crawl it. In addition, the trans2vec algorithm for detection was shared. In our work, accounts and transactions in Ethereum are treated as nodes …
☆30Updated 2 years ago
Alternatives and similar repositories for Phishing-Detection-on-Ethereum:
Users that are interested in Phishing-Detection-on-Ethereum are comparing it to the libraries listed below
- Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses☆85Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆71Updated 3 years ago
- ☆17Updated last year
- 用于图异常检测的数据集☆42Updated 5 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆116Updated last year
- ☆12Updated 4 years ago
- Code for OGC and GGCM☆14Updated 4 months ago
- ☆21Updated 10 months ago
- Data repository for PyGOD☆41Updated 11 months ago
- The official implementation of the DGA-GNN algorithm.☆23Updated 6 months ago
- ☆29Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆106Updated 7 months ago
- The code of Addgraph frame.☆22Updated 3 years ago
- (WWW 2021) Source code of PC-GNN☆100Updated 3 years ago
- This repository is for reviewers to check the code of KDD2021 Dr.Droid☆16Updated 3 years ago
- ☆10Updated last year
- ☆16Updated 2 years ago
- ☆11Updated last year
- The Implemention of "Adversarial Attack on Community Detection by Hiding Individuals"☆14Updated 4 years ago
- Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"☆31Updated last year
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆45Updated 3 years ago
- 读过的一些论文,给自己一个总结和交代吧☆18Updated 10 months ago
- An implementation of paper: Dynamic Network Embedding: An Extended Approach for Skip-gram based Network Embedding☆17Updated 4 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆37Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆51Updated last year
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆45Updated last year
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆34Updated 4 years ago
- ☆29Updated last year
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆18Updated last year