jaycicle / brasnam-experiments

Repository containing all source code used in experiments for my paper in BraSNAM 2021: "Quão efetivas são Redes Neurais baseadas em Grafos na Detecção de Fraude para Dados em Rede?"

How effective are Graph Neural Networks in Fraud Detection for Network Data?

Repository containing all experiments for my paper in X Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2021): "Quão efetivas são Redes Neurais baseadas em Grafos na Detecção de Fraude para Dados em Rede?"

You can find the full paper in this arXiv link.

Dataset Repository

• YelpChi
• Elliptic Data Set
• AMLSim

Experiments

• XGBoost
• GCN
• GAT
• GraphSAGE
• GraphSAINT
• EvolveGCN
• FastGCN
• Pick And Choose GNN
• GraphSmote

Cite

Please cite our paper if you use this code in your own work:

@inproceedings{pereira2021howeffective,
 author = {Ronald Pereira and Fabrício Murai},
 title = {Quão efetivas são Redes Neurais baseadas em Grafos na Detecção de Fraude para Dados em Rede?},
 booktitle = {Anais do X Brazilian Workshop on Social Network Analysis and Mining},
 location = {Evento Online},
 year = {2021},
 keywords = {},
 issn = {2595-6094},
 pages = {205--210},
 publisher = {SBC},
 address = {Porto Alegre, RS, Brasil},
 doi = {10.5753/brasnam.2021.16141},
 url = {https://sol.sbc.org.br/index.php/brasnam/article/view/16141}
}