Scalable algorithms for physics-informed neural and graph networks.
Khemraj ShuklaMengjia XuNathaniel TraskGeorge Em KarniadakisPublished in: CoRR (2022)
Keyphrases
- graph theory
- highly scalable
- graph structure
- scale poorly
- partitioning algorithm
- neural network
- computationally efficient
- learning algorithm
- complex networks
- maximum flow
- graph layout
- worst case
- bipartite graph
- computer science
- computational complexity
- network analysis
- network architecture
- data structure
- graph search
- graph structures
- fully connected
- image segmentation