Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks.
Mahdi MohammadizadehArash MozhdehiYani IoannouXin WangPublished in: Canadian AI (2023)
Keyphrases
- synthetic data
- neural network
- data sets
- graph representation
- input data
- prior knowledge
- training data
- noisy data
- prior information
- missing data
- data analysis
- pairwise
- data sources
- machine learning
- graph matching
- test data
- statistical methods
- neural nets
- data structure
- preprocessing
- genetic algorithm
- database
- support vector machine
- data points
- pattern recognition
- directed graph
- clustering method
- data objects
- similarity measure
- training process
- adjacency matrix
- loss minimization
- hierarchical data structure