Knowledge graphs (KGs) have been widely used in the field of artificial intelligence, such as
in information retrieval, natural language processing, recommendation systems, etc …

The abundance of heavy data on social media enables users to share opinions freely,
leading to the rapid spread of misleading content. However, existing fake news detection …

Nanjing Yunjin, a highly representative Chinese silk weaving handicraft, was included in the
Representative List of Intangible Cultural Heritage of Humanity in 2009. However, due to …

Abstract Nanjing Yunjin, a traditional Chinese silk weaving craft, is celebrated globally for its
unique local characteristics and exquisite workmanship, forming an integral part of the …

Recently, knowledge graph has been used for alleviating the problems such as sparsity
faced by the recommendation. Multi-task learning, which is an important emerged frontier …

Recently, knowledge graph (KG) has been introduced into recommender systems as side
information to mitigate problems of sparsity and cold start, which attracts growing attention …

Current network representation learning models mainly use matrix factorization-based and
neural network-based approaches, and most models still focus only on local neighbor …

Knowledge graphs (KG) represent information in the form of graphs. Because
heterogeneous and collaborative designs remain incomplete employing missing links …

In online customer service applications, multiple chatbots that are specialized in various
topics are typically developed separately and are then merged with other human agents to a …