Mehdi Ali

PhD Student
Computer Science Institute
University of Bonn

Profiles: LinkedIn, Google Scholar

Room 1.051
Endenicher Allee 19a, 53115 Bonn
University of Bonn, Computer Science

mehdi.ali@cs.uni-bonn.de

Short CV


Mehdi Ali is a PhD Student at the Computer Science Department III of the University of Bonn.

Research Interests


  • Machine Learning
  • Knowledge Graph Embeddings
  • Natural Language Processing
  • Bioinformatics

Publications

2022

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

Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract) Inproceedings

In: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, pp. 5259–5263, ijcai.org, 2022.

Links | BibTeX

2021

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

Improving Inductive Link Prediction Using Hyper-relational Facts Inproceedings

In: The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings, pp. 74–92, Springer, 2021.

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

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

In: Bioinform., vol. 37, no. 19, pp. 3311–3318, 2021.

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Ali, Mehdi; Berrendorf, Max; Hoyt, Charles Tapley; Vermue, Laurent; Sharifzadeh, Sahand; Tresp, Volker; Lehmann, Jens

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Journal Article

In: J. Mach. Learn. Res., vol. 22, pp. 82:1–82:6, 2021.

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2020

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

Affinity Dependent Negative Sampling for Knowledge Graph Embeddings Inproceedings

In: 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 - moved online, CEUR-WS.org, 2020.

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2019

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

Improving Access to Science for Social Good Inproceedings

In: Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I, pp. 658–673, Springer, 2019.

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

Predicting Missing Links Using PyKEEN Inproceedings

In: Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 26-30, 2019, pp. 245–248, CEUR-WS.org, 2019.

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

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

In: The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II, pp. 3–18, Springer, 2019.

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

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

In: Database J. Biol. Databases Curation, vol. 2019, pp. baz084, 2019.

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

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

In: Bioinform., vol. 35, no. 18, pp. 3538–3540, 2019.

Links | BibTeX