Machine learning models are susceptible to a variety of attacks that can...
Conventional representation learning algorithms for knowledge graphs (KG...
Reasoning in a temporal knowledge graph (TKG) is a critical task for
inf...
Neural abstractive summarization systems have achieved promising progres...
Inferring missing facts in temporal knowledge graphs (TKGs) is a fundame...