Enhancing material property prediction with ensemble deep graph convolutional networks.
Chowdhury Mohammad Abid RahmanGhadendra BhandariNasser M. NasrabadiAldo H. RomeroPrashnna K. GyawaliPublished in: CoRR (2024)
Keyphrases
- neural network ensemble
- prediction accuracy
- deep learning
- graph properties
- average degree
- ensemble classifier
- random walk
- ensemble methods
- global consistency
- dynamic networks
- neural network
- graph representation
- ensemble learning
- graph structure
- prediction error
- graph theory
- prediction model
- directed graph
- classifier ensemble
- anti monotonic
- fully connected
- directed edges
- edge weights
- small world
- protein interaction networks
- citation networks
- graph partitioning
- graph model
- unsupervised feature learning
- betweenness centrality
- social graphs
- graph layout
- biological networks
- graph theoretic
- directed acyclic graph
- community detection
- weighted graph
- sparse coding
- complex networks
- network structure
- structured data
- training set