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ORCIDMehdi Ali
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2020 – today
- 2024
[c7]Mehdi Ali, Michael Fromm, Klaudia Thellmann, Richard Rutmann, Max Lübbering, Johannes Leveling, Katrin Klug, Jan Ebert, Niclas Doll, Jasper Schulze Buschhoff, Charvi Jain, Alexander Arno Weber, Lena Jurkschat, Hammam Abdelwahab, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Samuel Weinbach, Rafet Sifa, Stefan Kesselheim, Nicolas Flores-Herr:
Tokenizer Choice For LLM Training: Negligible or Crucial? NAACL-HLT (Findings) 2024: 3907-3924- [d1]Vinay Srinivas Bharadhwaj
, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández:
CLEP. Zenodo, 2024
- [i7]Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali:
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? CoRR abs/2402.13703 (2024) - [i6]Shangrui Nie, Michael Fromm, Charles Welch, Rebekka Görge, Akbar Karimi, Joan Plepi, Nazia Afsan Mowmita, Nicolas Flores-Herr, Mehdi Ali, Lucie Flek:
Do Multilingual Large Language Models Mitigate Stereotype Bias? CoRR abs/2407.05740 (2024) - 2023
- [b1]Mehdi Ali:
Investigating Graph Representation Learning Methods For Link Prediction in Knowledge Graphs. University of Bonn, Germany, 2023 - [i5]Mehdi Ali, Michael Fromm, Klaudia Thellmann, Richard Rutmann, Max Lübbering, Johannes Leveling, Katrin Klug, Jan Ebert, Niclas Doll, Jasper Schulze Buschhoff, Charvi Jain, Alexander Arno Weber, Lena Jurkschat, Hammam Abdelwahab, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Samuel Weinbach, Rafet Sifa, Stefan Kesselheim, Nicolas Flores-Herr:
Tokenizer Choice For LLM Training: Negligible or Crucial? CoRR abs/2310.08754 (2023) - 2022
- [j5]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): 8825-8845 (2022) - [c6]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: 5259-5263 - 2021
- [j4]Vinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández:
CLEP: a hybrid data- and knowledge-driven framework for generating patient representations. Bioinform. 37(19): 3311-3318 (2021) - [j3]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: 82:1-82:6 (2021) - [c5]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-relational Facts. ISWC 2021: 74-92 - [e1]Mehwish Alam, Mehdi Ali, Paul Groth, Pascal Hitzler, Jens Lehmann, Heiko Paulheim, Achim Rettinger, Harald Sack, Afshin Sadeghi, Volker Tresp:
Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Virtual, September 17, 2021. CEUR Workshop Proceedings 2997, CEUR-WS.org 2021 [contents] - [i4]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-Relational Facts. CoRR abs/2107.04894 (2021) - 2020
- [c4]Mirza Mohtashim Alam, Hajira Jabeen, Mehdi Ali, Karishma Mohiuddin, Jens Lehmann:
Affinity Dependent Negative Sampling for Knowledge Graph Embeddings. DL4KG@ESWC 2020 - [i3]Mehdi Ali, Hajira Jabeen, Charles Tapley Hoyt, Jens Lehmann:
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability. CoRR abs/2001.10560 (2020) - [i2]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 abs/2006.13365 (2020) - [i1]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 abs/2007.14175 (2020)
2010 – 2019
- 2019
- [j2]Sumit Madan, Justyna Szostak, Ravikumar Komandur Elayavilli, Richard Tzong-Han Tsai, Mehdi Ali, Longhua Qian, Majid Rastegar-Mojarad, Julia Hoeng, Juliane Fluck:
The extraction of complex relationships and their conversion to biological expression language (BEL) overview of the BioCreative VI (2017) BEL track. Database J. Biol. Databases Curation 2019: baz084 (2019) - [j1]Mehdi Ali, Charles Tapley Hoyt, Daniel Domingo-Fernández, Jens Lehmann, Hajira Jabeen:
BioKEEN: a library for learning and evaluating biological knowledge graph embeddings. Bioinform. 35(18): 3538-3540 (2019) - [c3]Mehdi Ali, Sahar Vahdati, Shruti Singh, Sourish Dasgupta, Jens Lehmann:
Improving Access to Science for Social Good. PKDD/ECML Workshops (1) 2019: 658-673 - [c2]Mehdi Ali, Hajira Jabeen, Charles Tapley Hoyt, Jens Lehmann:
The KEEN Universe - An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability. ISWC (2) 2019: 3-18 - [c1]Mehdi Ali, Charles Tapley Hoyt, Daniel Domingo-Fernández, Jens Lehmann:
Predicting Missing Links Using PyKEEN. ISWC (Satellites) 2019: 245-248
Coauthor Index
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