Providing reasonable explanations for a specific suggestion given by the recommender can
help users trust the system more. As logic rule-based inference is concise, transparent, and …

Neurosymbolic artificial intelligence (AI) is an increasingly active area of research that
combines symbolic reasoning methods with deep learning to leverage their complementary …

Neurosymbolic AI is an increasingly active area of research which aims to combine symbolic
reasoning methods with deep learning to generate models with both high predictive …

Abstract Knowledge Graph Embedding (KGE) has proven to be an effective approach to
solving the Knowledge Graph Completion (KGC) task. Relational patterns which refer to …

For many machine learning methods, while dealing with problems such as classification,
clustering, prediction, and association rule mining, counting the occurrences of given …

Knowledge Graph is an important research field that involves the storage and management
of knowledge, but the incompleteness and sparsity of Knowledge Graphs hinder their …

Abstract Autonomous Transport System (ATS) architectures enable a wide range of new
applications and bring significant benefits to transport systems. However, during the design …