NilotpalMaitra/Graph-based-Neural-Network-for-Anomaly-Detection
View on GitHub ↗Related repositories →Graph-based Neural Networks (GNNs) are powerful tools for anomaly detection on structured data represented as graphs.I tried to implement a simple Graph Convolutional Network (GCN) for anomaly detection on a synthetic dataset using Pytorch Geometric.
active 2024-02-13 → 2024-03-03 (UTC)
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Line chart, 20 days from 2024-02-13 to 2024-03-03. Pushes: 2 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| NilotpalMaitra | 2 | 2 | 0 | 0 |
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