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
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.
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework Journal Article
In: IEEE Trans. Pattern Anal. Mach. Intell., vol. 44, no. 12, pp. 8825–8845, 2022.
2021
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.
CLEP: a hybrid data- and knowledge-driven framework for generating patient representations Journal Article
In: Bioinform., vol. 37, no. 19, pp. 3311–3318, 2021.
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.
2020
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.
2019
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.
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.
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.
In: Database J. Biol. Databases Curation, vol. 2019, pp. baz084, 2019.
BioKEEN: a library for learning and evaluating biological knowledge graph embeddings Journal Article
In: Bioinform., vol. 35, no. 18, pp. 3538–3540, 2019.