Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction.
Steph-Yves M. LouisYong ZhaoAlireza NasiriXiran WongYuqi SongFei LiuJianjun HuPublished in: CoRR (2020)
Keyphrases
- convolutional neural networks
- global consistency
- prediction accuracy
- structured data
- graph properties
- graph model
- convolutional network
- graph representation
- graph theory
- prediction model
- graph structure
- improved algorithm
- graph matching
- directed acyclic graph
- prediction algorithm
- directed graph
- graph theoretic
- global information
- graph mining
- prediction error
- random walk
- graph partitioning
- multiscale
- global structure
- global context
- protein function prediction
- graphical models
- multiresolution