Scalable deeper graph neural networks for high-performance materials property prediction.
Sadman Sadeed OmeeSteph-Yves M. LouisNihang FuLai WeiSourin DeyRongzhi DongQinyang LiJianjun HuPublished in: Patterns (2022)
Keyphrases
- neural network
- prediction accuracy
- pattern recognition
- artificial neural networks to predict
- neural networks and support vector machines
- prediction model
- neural network model
- graph representation
- global consistency
- prediction algorithm
- multi layer perceptron
- graph properties
- neural network ensemble
- structured data
- data intensive
- graph matching
- protein function prediction
- prediction error
- genetic algorithm
- fuzzy logic
- random walk
- fault diagnosis
- directed graph
- connected components
- artificial neural networks
- multilayer perceptron
- learning materials
- recurrent neural networks
- coarse grained
- radial basis function network
- complex networks
- bounded degree
- shortest path
- low latency
- radial basis function neural network
- graph partitioning
- undirected graph
- graph databases
- graph model
- graph mining
- directed acyclic graph
- weighted graph
- bipartite graph
- neural nets