TAP-AHGNN: An Attention-Based Heterogeneous Graph Neural Network for Service Recommendation on Trigger-Action Programming Platform.
Zijun HuangJiangfeng LiHuijuan ZhangChenxi ZhangGang YuPublished in: ICIC (4) (2023)
Keyphrases
- neural network
- mashup
- sharing platform
- service platform
- programming language
- loosely coupled
- artificial neural networks
- bipartite graph
- multi domain
- value added services
- service providers
- graph representation
- visual attention
- recommender systems
- neural network model
- genetic algorithm
- back propagation
- directed graph
- collaborative filtering
- personalized services
- public services
- real time
- service composition
- directed acyclic graph
- web services
- client server architecture
- scripting language
- grid environment
- graph theory
- graph model
- weighted graph
- service oriented
- fuzzy logic
- management system
- website
- recommendation systems
- graph mining
- personalized recommendation
- information services
- graph matching
- seamless integration
- web applications
- end users
- enterprise application