Modeling Gate-Level Abstraction Hierarchy Using Graph Convolutional Neural Networks to Predict Functional De-Rating Factors.
Aneesh BalakrishnanThomas LangeMaximilien GlorieuxDan AlexandrescuMaksim JenihhinPublished in: AHS (2019)
Keyphrases
- convolutional neural networks
- abstraction hierarchy
- directed graph
- graph structure
- random walk
- convolutional network
- bipartite graph
- graph theory
- graph representation
- spanning tree
- weighted graph
- individual level
- graph model
- graph mining
- artificial intelligence
- graph matching
- collaborative filtering
- reinforcement learning