ClusterNet: Routing Congestion Prediction and Optimization Using Netlist Clustering and Graph Neural Networks.
Kyungjun MinSeongbin KwonSung-Yun LeeDohun KimSunghye ParkSeokhyeong KangPublished in: ICCAD (2023)
Keyphrases
- graph structure
- neural network
- self organizing maps
- normalized cut
- graph model
- prediction accuracy
- weighted graph
- directed graph
- clustering algorithm
- clustering method
- dynamic routing
- artificial neural networks to predict
- spectral clustering
- k means
- optimization problems
- logistics distribution
- prediction model
- artificial neural networks
- highly non linear
- neural networks and support vector machines
- pattern recognition
- routing decisions
- vehicle routing
- graph clustering
- ad hoc networks
- routing problem
- neural network model
- document clustering
- back propagation
- optimization algorithm
- travel time
- multi layer perceptron
- graph theoretic
- packet loss
- data clustering
- unsupervised learning
- fuzzy logic
- predictive clustering trees
- social networks