Scalable deeper graph neural networks for high-performance materials property prediction.
Sadman Sadeed OmeeSteph-Yves M. LouisNihang FuLai WeiSourin DeyRongzhi DongQinyang LiJianjun HuPublished in: CoRR (2021)
Keyphrases
- neural network
- prediction accuracy
- prediction model
- artificial neural networks to predict
- graph properties
- graph representation
- neural network ensemble
- pattern recognition
- graph theory
- prediction error
- artificial neural networks
- random walk
- prediction algorithm
- neural network model
- data intensive computing
- fuzzy logic
- structured data
- multi layer perceptron
- graph structure
- directed graph
- graph model
- graph databases
- graph theoretic
- radial basis function neural network
- scalable video coding
- graph based algorithm
- neural networks and support vector machines
- multi layer
- directed acyclic graph
- weighted graph
- bipartite graph
- learning materials
- multilayer perceptron
- graph matching