The prediction of molecular properties is a crucial task in the field of...
The problem of molecular generation has received significant attention
r...
Identifying vulnerable code is a precautionary measure to counter softwa...
For many years, link prediction on knowledge graphs (KGs) has been a pur...
Advancements in deep learning and machine learning algorithms have enabl...
Graph-structured data ubiquitously appears in science and engineering. G...
The Software Naturalness hypothesis argues that programming languages ca...
The Software Naturalness hypothesis argues that programming languages ca...
Ontology-based query answering (OBQA) augments classical query answering...
Automated theorem proving in first-order logic is an active research are...
Recent advances in the integration of deep learning with automated theor...
Traditional first-order logic (FOL) reasoning systems usually rely on ma...
Textual entailment is a fundamental task in natural language processing....
Logical rules are a popular knowledge representation language in many
do...
The DL-Lite description logics allow for modeling domain knowledge on to...
Querying large datasets with incomplete and vague data is still a challe...