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Max Berrendorf

4 accepted papers

2022

Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract)

IJCAI 2022poster

For many years, link prediction on knowledge. graphs has been a purely transductive task, not allowing for reasoning on unseen entities. Recently, increasing efforts are put into exploring semi- and fully inductive scenarios, enabling inference over unseen and emerging entities. Still, all these…

2022

Query Embedding on Hyper-Relational Knowledge Graphs

ICLR 2022poster

Multi-hop logical reasoning is an established problem in the field of representation learning on knowledge graphs (KGs). It subsumes both one-hop link prediction as well as other more complex types of logical queries. Existing algorithms operate only on classical, triple-based graphs, whereas modern…

2021

Argument Mining Driven Analysis of Peer-Reviews

AAAI 2021technical

Peer reviewing is a central process in modern research and essential for ensuring high quality and reliability of published work. At the same time, it is a time-consuming process and increasing interest in emerging fields often results in a high review workload, especially for senior researchers in…