DC-GNN: Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval.
Chenchen FengYu HeShiyang WenGuojun LiuLiang WangJian XuBo ZhengPublished in: WWW (Companion Volume) (2022)
Keyphrases
- neural network
- pattern recognition
- information retrieval
- image database
- graph representation
- graph structure
- efficient retrieval
- content based retrieval
- small scale
- electronic commerce
- real world
- multi layer
- graph theory
- directed graph
- test collection
- structured data
- back propagation
- image retrieval
- relevance feedback
- random walk
- genetic algorithm
- spanning tree
- multilayer perceptron
- multimedia collections
- neural network model
- video collections
- information retrieval systems
- document retrieval
- self organizing maps
- weighted graph
- fault diagnosis
- retrieval method
- retrieval process
- massive graphs
- graph theoretic
- artificial intelligence
- training process
- search engine
- image segmentation
- multimedia databases
- graph matching
- text retrieval
- query expansion