Recommender system is one of the most important information services on today's Internet.
Recently, graph neural networks have become the new state-of-the-art approach to …

ChatGPT and similar large language model (LLM) based conversational agents have
brought shock waves to the research world. Although astonished by their human-like …

Graphs can model complex relationships between objects, enabling a myriad of Web
applications such as online page/article classification and social recommendation. While …

Dynamic graph modeling is crucial for understanding complex structures in web graphs,
spanning applications in social networks, recommender systems, and more. Most existing …

Conversational recommender systems (CRS) promise to provide a more natural user
experience for exploring and discovering items of interest through ongoing conversation …

Conversational Recommender Systems (CRSs) leverage natural language dialogues to
provide tailored recommendations. Traditional methods in this field primarily focus on …

Conversational agents, or commonly known as dialogue systems, have gained escalating
popularity in recent years. Their widespread applications support conversational interactions …

Recently, an enormous amount of research has emerged on multimodal knowledge graph
completion (MKGC), which seeks to extract knowledge from multimodal data and predict the …

In recent years, there has been a discernible upswing in the utilization of knowledge graphs
within recommender systems. This heightened interest in knowledge graphs stems from …

The recommendation system is fundamental technology of the internet industry intended to
solve the information overload problem in the big data era. Top-k recommendation is an …