A comprehensive survey on deep graph representation learning methods
IA Chikwendu, X Zhang, IO Agyemang… - Journal of Artificial …, 2023 - jair.org
There has been a lot of activity in graph representation learning in recent years. Graph
representation learning aims to produce graph representation vectors to represent the …
representation learning aims to produce graph representation vectors to represent the …
Blockchain Data Mining With Graph Learning: A Survey
Blockchain data mining has the potential to reveal the operational status and behavioral
patterns of anonymous participants in blockchain systems, thus providing valuable insights …
patterns of anonymous participants in blockchain systems, thus providing valuable insights …
Decentralized finance (DeFi): A survey
Decentralized Finance (DeFi) is a new paradigm in the creation, distribution, and utilization
of financial services via the integration of blockchain technology. Our research conducts a …
of financial services via the integration of blockchain technology. Our research conducts a …
Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin
Criminals have become increasingly experienced in using cryptocurrencies, such as Bitcoin,
for money laundering. The use of cryptocurrencies can hide criminal identities and transfer …
for money laundering. The use of cryptocurrencies can hide criminal identities and transfer …
Tracking phishing on Ethereum: Transaction network embedding approach for accounts representation learning
The transaction volume of Ethereum has been witnessing a year-on-year increase, which
has unfortunately been accompanied by significant losses due to phishing scams. To …
has unfortunately been accompanied by significant losses due to phishing scams. To …
MP-GCN: a phishing nodes detection approach via graph convolution network for ethereum
T Yu, X Chen, Z Xu, J Xu - Applied Sciences, 2022 - mdpi.com
Blockchain is making a big impact in various applications, but it is also attracting a variety of
cybercrimes. In blockchain, phishing transfers the victim's virtual currency to make huge …
cybercrimes. In blockchain, phishing transfers the victim's virtual currency to make huge …
Tsgn: Transaction subgraph networks assisting phishing detection in ethereum
Due to the decentralized and public nature of the Blockchain ecosystem, the malicious
activities on the Ethereum platform impose immeasurable losses for the users. Existing …
activities on the Ethereum platform impose immeasurable losses for the users. Existing …
[HTML][HTML] A review on deep anomaly detection in Blockchain
The last few years have witnessed the widespread use of blockchain technology in several
works, due to its effectiveness in terms of privacy, security, and trustworthiness. However, the …
works, due to its effectiveness in terms of privacy, security, and trustworthiness. However, the …
EtherShield: Time-interval Analysis for Detection of Malicious Behavior on Ethereum
B Pan, N Stakhanova, Z Zhu - ACM Transactions on Internet Technology, 2024 - dl.acm.org
Advances in blockchain technology have attracted significant attention across the world. The
practical blockchain applications emerging in various domains, ranging from finance …
practical blockchain applications emerging in various domains, ranging from finance …
Graph learning-based blockchain phishing account detection with a heterogeneous transaction graph
Recently, cybercrimes that exploit the anonymity of blockchain are increasing. They steal
blockchain users' assets, threaten the network's reliability, and destabilize the blockchain …
blockchain users' assets, threaten the network's reliability, and destabilize the blockchain …