Berrendorf, Max

5 publications

IJCAI 2022 Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract) Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann

ICLR 2022 Query Embedding on Hyper-Relational Knowledge Graphs Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin

ECML-PKDD 2022 Reinforcement Learning for Multi-Agent Stochastic Resource Collection Niklas Strauß, David Winkel, Max Berrendorf, Matthias Schubert

AAAI 2021 Argument Mining Driven Analysis of Peer-Reviews Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl

JMLR 2021 PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann