Social relationship prediction has garnered significant attention in the development of
artificial intelligence technology due to its potential to promote socioeconomic development …

Most real-world networks are heterogeneous and consist of different types of nodes and
edges. Relationships (edges) between nodes of different types carry different semantics …

In the study of social relationship inference, social relationship link inference aims to infer
whether there is a social relationship between users. Most previous works applied the …

Friendships are the keystone of social networks. Predicting potential friendships of users in
social networks has become a critical task in the real world. However, the computational …

It is well known that the number of users is increasing rapidly in online social networks.
People are linked through various types of social relationships. Detecting the type of social …

Relationship semantics refer to the types of social relationships between users in a social
network, eg, friend, family, enemy, etc. Inferring the semantics of social relationships using …

Recent advances in network representation learning have enabled significant improvement
in the link prediction task, which is at the core of many downstream applications. As an …

Relation extraction is an important task in natural language processing. It plays an integral
role in intelligent question-and-answer systems, semantic search, and knowledge graph …

Link prediction is a fundamental task in such areas as social network analysis, information
retrieval, and bioinformatics. Usually link prediction methods use the link structures or node …

Inferring social relations from user trajectory data is of great value in real-world applications
such as friend recommendation and ride-sharing. Most existing methods predict relationship …