Name
Title | ||
|---|---|---|
Fraud Prevention and Detection on Heterogeneous Information Networks with Deep Graph Infomax |
Abstract | ||
|---|---|---|
Fraud is ubiquitous in both institutions and private companies, costing $1.9 billion in losses in the US, in 2019 alone. Fraud detection introduces a way to mitigate these losses while ensuring better security and enabling trust between all parties. However, it frequently comes at a great cost of resources needed to locate and oppose fraudulent cases manually. This cost also grows exponentially wi... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/RTSI50628.2021.9597357 | 2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI) |
Keywords | DocType | ISBN |
Training,Industries,Costs,Costing,Companies,Hardware,Security | Conference | 978-1-6654-4135-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicolas Racchi | 1 | 0 | 0.34 |
| Alberto Parravicini | 2 | 0 | 0.34 |
| Guido Walter Di Donato | 3 | 0 | 0.68 |
| Marco D. Santambrogio | 4 | 771 | 91.15 |