With the ever-increasing volume of data, there is an urgent need to prov...
The widespread of Coronavirus has led to a worldwide pandemic with a hig...
Predicting missing facts in a knowledge graph (KG) is a crucial task in
...
The use of aggregates in recursion enables efficient and scalable suppor...
In the past, the semantic issues raised by the non-monotonic nature of
a...
A large class of traditional graph and data mining algorithms can be
con...
Quantifying differences in terminologies from various academic domains h...
Embedding models for deterministic Knowledge Graphs (KG) have been
exten...
Populating ontology graphs represents a long-standing problem for the
Se...
Bilingual word embeddings have been widely used to capture the similarit...
Nowadays, editors tend to separate different subtopics of a long Wiki-pe...
BigDatalog is an extension of Datalog that achieves performance and
scal...
Multilingual knowledge graph (KG) embeddings provide latent semantic
rep...
Most industrial recommender systems rely on the popular collaborative
fi...
A very desirable Datalog extension investigated by many researchers in t...
Many recent works have demonstrated the benefits of knowledge graph
embe...