Although large language models (LLMs) demonstrate impressive performance...
We present Visual Knowledge oriented Programming platform (VisKoP), a
kn...
Deep text understanding, which requires the connections between a given
...
The unprecedented performance of large language models (LLMs) necessitat...
Explainable question answering (XQA) aims to answer a given question and...
Answering complex logical queries on incomplete knowledge graphs is a
ch...
Knowledge graphs, as the cornerstone of many AI applications, usually fa...
Self-supervised entity alignment (EA) aims to link equivalent entities a...
Multi-hop knowledge graph (KG) reasoning has been widely studied in rece...
Entity Matching (EM) aims at recognizing entity records that denote the ...
Multi-hop reasoning has been widely studied in recent years to obtain mo...
Multi-hop reasoning has been widely studied in recent years to seek an
e...
Knowledge graphs (KGs) contains an instance-level entity graph and an
on...
Scientists have used many different classification methods to solve the
...
Multi-hop knowledge graph (KG) reasoning is an effective and explainable...
Concepts, which represent a group of different instances sharing common
...