Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation.
Shuang WangBahaeddin EravciRustam GuliyevHakan FerhatosmanogluPublished in: CIKM (2023)
Keyphrases
- neural network
- uniform quantization
- graph theory
- pattern recognition
- graph representation
- structured data
- information propagation
- graph theoretic
- neural network model
- genetic algorithm
- adaptive quantization
- weighted graph
- graph structure
- bipartite graph
- directed graph
- back propagation
- cost function
- random walk
- fuzzy logic
- prior information
- connected components
- artificial neural networks
- recurrent neural networks
- global consistency
- graph databases
- objective function
- program chairs
- graph partitioning
- graph model
- directed acyclic graph
- multi layer
- neural nets