Mehdi Ali
Mehdi Ali
Fraunhofer IAIS, LAMARR Institute
Verified email at - Homepage
Cited by
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PyKEEN 1.0: a python library for training and evaluating knowledge graph embeddings
M Ali, M Berrendorf, CT Hoyt, L Vermue, S Sharifzadeh, V Tresp, ...
Journal of Machine Learning Research 22 (82), 1-6, 2021
Bringing light into the dark: A large-scale evaluation of knowledge graph embedding models under a unified framework
M Ali, M Berrendorf, CT Hoyt, L Vermue, M Galkin, S Sharifzadeh, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109 …, 2021
BioKEEN: a library for learning and evaluating biological knowledge graph embeddings
M Ali, CT Hoyt, D Domingo-Fernández, J Lehmann, H Jabeen
Bioinformatics 35 (18), 3538-3540, 2019
Improving inductive link prediction using hyper-relational facts
M Ali, M Berrendorf, M Galkin, V Thost, T Ma, V Tresp, J Lehmann
The Semantic Web–ISWC 2021: 20th International Semantic Web Conference, ISWC …, 2021
Metaresearch recommendations using knowledge graph embeddings
V Henk, S Vahdati, M Nayyeri, M Ali, HS Yazdi, J Lehmann
The AAAI-19 Workshop on Recommender Systems and Natural Language Processing …, 2019
The extraction of complex relationships and their conversion to biological expression language (BEL) overview of the BioCreative VI (2017) BEL track
S Madan, J Szostak, R Komandur Elayavilli, RTH Tsai, M Ali, L Qian, ...
Database 2019, baz084, 2019
The KEEN universe: An ecosystem for knowledge graph embeddings with a focus on reproducibility and transferability
M Ali, H Jabeen, CT Hoyt, J Lehmann
The Semantic Web–ISWC 2019: 18th International Semantic Web Conference …, 2019
CLEP: a hybrid data-and knowledge-driven framework for generating patient representations
VS Bharadhwaj, M Ali, C Birkenbihl, S Mubeen, J Lehmann, ...
Bioinformatics 37 (19), 3311-3318, 2021
Integration of structured biological data sources using biological expression language
CT Hoyt, D Domingo-Fernández, S Mubeen, JM Llaó, A Konotopez, ...
Biorxiv, 631812, 2019
Tokenizer Choice For LLM Training: Negligible or Crucial?
M Ali, M Fromm, K Thellmann, R Rutmann, M Lübbering, J Leveling, ...
Affinity Dependent Negative Sampling for Knowledge Graph Embeddings.
MM Alam, H Jabeen, M Ali, K Mohiuddin, J Lehmann
DL4KG@ ESWC, 2020
Automatic extraction of BEL-statements based on neural networks
M Ali, S Madan, A Fischer, H Petzka, J Fluck
Proceedings of the sixth BioCreative challenge evaluation workshop …, 2017
Improving access to science for social good
M Ali, S Vahdati, S Singh, S Dasgupta, J Lehmann
Machine Learning and Knowledge Discovery in Databases: International …, 2020
Predicting Missing Links Using PyKEEN
M Ali, CT Hoyt, D Domingo-Fernández, J Lehmann
Do Multilingual Large Language Models Mitigate Stereotype Bias?
S Nie, M Fromm, C Welch, R Görge, A Karimi, J Plepi, NA Mowmita, ...
arXiv preprint arXiv:2407.05740, 2024
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?
AA Weber, K Thellmann, J Ebert, N Flores-Herr, J Lehmann, M Fromm, ...
arXiv preprint arXiv:2402.13703, 2024
Investigating Graph Representation Learning Methods For Link Prediction in Knowledge Graphs
M Ali
University of Bonn, Germany, 2023
Metadata standards for the FAIR sharing of vector embeddings in Biomedicine
S Kafkas, R Celebi, M Ali, H Jabeen, M Dumontier, R Hoehndorf
28th Conference on Intelligent Systems for Molecular Biology: Bio-Ontologies …, 2020
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