Based on the edX platform, this paper designs the knowledge graph model by combining expert method and reference method, selects Neo4j as the knowledge storage database of knowledge graph; selects ...

Machine learning (ML), especially deep neural networks, has achieved great success, but many of them often rely on a number of labeled samples for supervision. As sufficient labeled training data are ...

Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023. Federated Learning (FL) recently emerges as a paradigm to train a global machine learning model across distributed ...

Knowledge graph is a form of data representation that uses graph structure to model the connections between things. The intention of knowledge graph is to optimize the results returned by search ...