Automated graph learning is a method that aims at discovering the best hyper-parameter and neural architecture configuration for different graph tasks/data without manual design.
Source: An adaptive graph learning method for automated molecular interactions and properties predictionsPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Drug Discovery | 1 | 25.00% |
Graph Learning | 1 | 25.00% |
Graph Representation Learning | 1 | 25.00% |
Molecular Property Prediction | 1 | 25.00% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |