Graph Models

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 predictions


Paper Code Results Date Stars


Task Papers Share
Drug Discovery 1 25.00%
Graph Learning 1 25.00%
Graph Representation Learning 1 25.00%
Molecular Property Prediction 1 25.00%


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign