AutoGL
Automated Graph Learning
2000년 도입 · 논문 1편에서 사용
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.
출처: An adaptive graph learning method for automated molecular interactions and properties predictions
소개 논문: An adaptive graph learning method for automated molecular interactions and properties predictions
Graph Models · Graphs