A novel recommender system using light graph convolutional network and personalized knowledge-aware attention sub-network
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-99949-y
Abstract: Recently, graph neural networks (GNNs) have gained prominence in recommender systems (RS) due to their capability to extract vital features and understand intricate relationships. However, GNNs exhibit limitations in their ability to capture fine-grained semantics… read more here.
Keywords: recommender; knowledge; graph; network ... See more keywords
FedHKD-SA: Bilateral optimization method for combating forgetting in personalized federated learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3624227
Abstract: Federated learning (FL) is an emerging paradigm in edge computing that facilitates the training of machine learning models across numerous resource-constrained edge devices without the necessity of transferring data to a centralized server. A significant… read more here.
Keywords: bilateral optimization; knowledge; fedhkd bilateral; federated learning ... See more keywords
Dual-State Personalized Knowledge Tracing With Emotional Incorporation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3538121
Abstract: Knowledge tracing has been widely used in online learning systems to guide the students’ future learning. However, most existing KT models primarily focus on extracting abundant information from the question sets and explore the relationships… read more here.
Keywords: state personalized; knowledge; state; personalized knowledge ... See more keywords