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GitHub / PratimaScripts / graph-based-fraud-detection

Collab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend. About Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PratimaScripts%2Fgraph-based-fraud-detection

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 945 KB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago

Topics: colab, dgl, fraud-detection, graph-neural-networks, pytorch-implementation

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