Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc.
Zhihao JiaSina LinMingyu GaoMatei ZahariaAlex AikenPublished in: MLSys (2020)
Keyphrases
- neural network
- high accuracy
- computational cost
- pattern recognition
- precision recall
- graph model
- genetic algorithm
- error rate
- directed graph
- roc curve
- receiver operating characteristic
- prediction accuracy
- highly accurate
- fuzzy systems
- scalable video coding
- graph theoretic
- graph representation
- graph partitioning
- data sets
- roc analysis
- recurrent neural networks
- precision and recall
- neural network model
- connected components
- computational efficiency
- structured data
- sufficient conditions
- machine learning