Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction.
Siyuan HaoLe DaiLe ZhangShengming ZhangChao WangChuan QinHui XiongPublished in: KSEM (2) (2023)
Keyphrases
- neural network
- prediction accuracy
- artificial neural networks to predict
- prediction model
- pattern recognition
- neural network ensemble
- hybrid intelligent
- artificial neural networks
- fault diagnosis
- multi layer perceptron
- hybrid learning
- graph structure
- neural network model
- neural networks and support vector machines
- protein function prediction
- graph theory
- weighted graph
- graph representation
- multi layer
- fuzzy logic
- prediction algorithm
- polynomial neural networks
- predictive model
- activation function
- genetic algorithm
- undirected graph
- graph mining
- bipartite graph
- self organizing maps
- structured data
- back propagation
- pairwise
- graph partitioning
- spanning tree
- prediction error
- graph construction
- feed forward
- random walk
- elman network