Max Berrendorf

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 40

Top Topics

Link Prediction

Top Venues

Publications

Michael Fromm, Max Berrendorf, Evgeniy Faerman, Thomas Seidl
Cross-Domain Argument Quality Estimation. ACL (Findings) (2023)
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
Approximate Answering of Graph Queries. CoRR (2023)
Michael Fromm, Max Berrendorf, Johanna Reiml, Isabelle Mayerhofer, Siddharth Bhargava, Evgeniy Faerman, Thomas Seidl
Towards a Holistic View on Argument Quality Prediction. CoRR (2022)
Niklas Strauß, David Winkel, Max Berrendorf, Matthias Schubert
Reinforcement Learning for Multi-Agent Stochastic Resource Collection. ECML/PKDD (4) (2022)
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). IJCAI (2022)
Mikhail Galkin, Max Berrendorf, Charles Tapley Hoyt
An Open Challenge for Inductive Link Prediction on Knowledge Graphs. CoRR (2022)
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Charles Tapley Hoyt, Max Berrendorf, Mikhail Galkin, Volker Tresp, Benjamin M. Gyori
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs. CoRR (2022)
Niklas Strauß, Max Berrendorf, Tom Haider, Matthias Schubert
A Comparison of Ambulance Redeployment Systems on Real-World Data. ICDM (Workshops) (2022)
Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
Query Embedding on Hyper-Relational Knowledge Graphs. ICLR (2022)
Sandra Gilhuber, Max Berrendorf, Yunpu Ma, Thomas Seidl
Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations. IAL@PKDD/ECML (2022)
Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
Query Embedding on Hyper-relational Knowledge Graphs. CoRR (2021)
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. J. Mach. Learn. Res. 22 (2021)
Max Berrendorf, Ludwig Wacker, Evgeniy Faerman
A Critical Assessment of State-of-the-Art in Entity Alignment. ECIR (2) (2021)
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts. CoRR (2021)
Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman
Diversity Aware Relevance Learning for Argument Search. ECIR (2) (2021)
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
Improving Inductive Link Prediction Using Hyper-relational Facts. ISWC (2021)
Max Berrendorf, Evgeniy Faerman, Volker Tresp
Active Learning for Entity Alignment. ECIR (1) (2021)
Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl
Argument Mining Driven Analysis of Peer-Reviews. AAAI (2021)
Elena A. Kronberg, Tanveer Hannan, Jens Huthmacher, Marcus Münzer, Florian Peste, Ziyang Zhou, Max Berrendorf, Evgeniy Faerman, Fabio Gastaldello, Simona Ghizzardi, Philippe Escoubet, Stein Haaland, Artem Smirnov, Nithin Sivadas, Robert C. Allen, Andrea Tiengo, Raluca Ilie
Prediction of soft proton intensities in the near-Earth space using machine learning. CoRR (2021)
Julia Gottfriedsen, Max Berrendorf, Pierre Gentine, Markus Reichstein, Katja Weigel, Birgit Hassler, Veronika Eyring
On the Generalization of Agricultural Drought Classification from Climate Data. CoRR (2021)
Max Berrendorf, Ludwig Wacker, Evgeniy Faerman
A Critical Assessment of State-of-the-Art in Entity Alignment. CoRR (2020)
Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp
Improving Visual Relation Detection using Depth Maps. ICPR (2020)
Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank. CoRR (2020)
Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman
Diversity Aware Relevance Learning for Argument Search. CoRR (2020)
Sandra Obermeier, Max Berrendorf, Peer Kröger
Memory-Efficient RkNN Retrieval by Nonlinear k-Distance Approximation. CoRR (2020)
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. CoRR (2020)
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. CoRR (2020)
Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods. WI/IAT (2020)
Sandra Obermeier, Max Berrendorf, Peer Kröger
Memory-Efficient RkNN Retrieval by Nonlinear k-Distance Approximation. WI/IAT (2020)
Max Berrendorf, Evgeniy Faerman, Volker Tresp
Active Learning for Entity Alignment. CoRR (2020)
Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl
Argument Mining Driven Analysis of Peer-Reviews. CoRR (2020)
Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. ECIR (2) (2020)
Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert
Unsupervised Anomaly Detection for X-Ray Images. CoRR (2020)
Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, Matthias Schubert
XD-STOD: Cross-Domain Superresolution for Tiny Object Detection. ICDM Workshops (2019)
Max Berrendorf, Felix Borutta, Peer Kröger
k-Distance Approximation for Memory-Efficient RkNN Retrieval. SISAP (2019)
Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. CoRR (2019)
Sahand Sharifzadeh, Max Berrendorf, Volker Tresp
Improving Visual Relation Detection using Depth Maps. CoRR (2019)
Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, Matthias Schubert
Spatial Interpolation with Message Passing Framework. ICDM Workshops (2019)
Christian Beecks, Max Berrendorf
Optimal k-Nearest-Neighbor Query Processing via Multiple Lower Bound Approximations. IEEE BigData (2018)