Mehdi Ali

According to our database, Mehdi Ali authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?

Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali

CoRR, 2024

2023

Investigating Graph Representation Learning Methods For Link Prediction in Knowledge Graphs

Mehdi Ali

PhD thesis, 2023

Tokenizer Choice For LLM Training: Negligible or Crucial?

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

CoRR, 2023

2022

Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework.

Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann

IEEE Trans. Pattern Anal. Mach. Intell., 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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

J. Mach. Learn. Res., 2021

CLEP: a hybrid data- and knowledge-driven framework for generating patient representations.

Vinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández

Bioinform., 2021

Improving Inductive Link Prediction Using Hyper-relational Facts.

Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann

Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

2020

Affinity Dependent Negative Sampling for Knowledge Graph Embeddings.

Mirza Mohtashim Alam, Hajira Jabeen, Mehdi Ali, Karishma Mohiuddin, Jens Lehmann

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020), Heraklion, Greece, June 02, 2020, 2020

2019

BioKEEN: a library for learning and evaluating biological knowledge graph embeddings.

Mehdi Ali, Charles Tapley Hoyt, Daniel Domingo-Fernández, Jens Lehmann, Hajira Jabeen

Bioinform., 2019

The extraction of complex relationships and their conversion to biological expression language (BEL) overview of the BioCreative VI (2017) BEL track.

Sumit Madan, Justyna Szostak, Ravikumar Komandur Elayavilli, Richard Tzong-Han Tsai, Mehdi Ali, Longhua Qian, Majid Rastegar-Mojarad, Julia Hoeng, Juliane Fluck

Database J. Biol. Databases Curation, 2019

The KEEN Universe - An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability.

Mehdi Ali, Hajira Jabeen, Charles Tapley Hoyt, Jens Lehmann

Proceedings of the Semantic Web - ISWC 2019, 2019

Predicting Missing Links Using PyKEEN.

Mehdi Ali, Charles Tapley Hoyt, Daniel Domingo-Fernández, Jens Lehmann

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Improving Access to Science for Social Good.

Mehdi Ali, Sahar Vahdati, Shruti Singh, Sourish Dasgupta, Jens Lehmann

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019