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ORCIDMelisachew Wudage Chekol
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2020 – today
- 2024
[j3]Christian Meilicke
, Melisachew Wudage Chekol, Patrick Betz, Manuel Fink, Heiner Stuckenschmidt:
Anytime bottom-up rule learning for large-scale knowledge graph completion. VLDB J. 33(1): 131-161 (2024)- [c37]Egor Dmitriev, Melisachew Wudage Chekol, Mirko Tobias Schäfer:
BOLD: Knowledge Graph Exploration and Analysis Platform. EDBT 2024: 814-817 - [c36]Duygu Sezen Islakoglu, Melisachew Wudage Chekol, Yannis Velegrakis:
Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs. ESWC (1) 2024: 59-78 - 2023
- [c35]Yunming Hui, Mel Chekol, Shihan Wang:
Leveraging Graph Embedding for Opinion Leader Detection in Dynamic Social Networks. ECAI Workshops (2) 2023: 5-22 - [i6]Yunming Hui, Luuk Buijsman, Mel Chekol, Shihan Wang:
Leveraging Graph Embeddings for Opinion Leader Detection. CoRR abs/2305.08663 (2023) - [i5]Duygu Sezen Islakoglu, Mel Chekol, Yannis Velegrakis:
Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs. CoRR abs/2309.16357 (2023) - 2022
- [i4]Egor Dmitriev, Mel W. Chekol, Shihan Wang:
MGTCOM: Community Detection in Multimodal Graphs. CoRR abs/2211.06331 (2022) - 2021
- [c34]Wessel Radstok, Mel Chekol, Yannis Velegrakis:
Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs. ICTAI 2021: 1034-1041 - [c33]Melisachew Wudage Chekol:
Tensor Decomposition for Link Prediction in Temporal Knowledge Graphs. K-CAP 2021: 253-256 - [c32]Wessel Radstok, Melisachew Wudage Chekol, Mirko Tobias Schäfer:
Are Knowledge Graph Embedding Models Biased, or Is it the Data That They Are Trained on? Wikidata@ISWC 2021 - [i3]Wessel Radstok, Mel Chekol:
Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs. CoRR abs/2106.15223 (2021) - 2020
- [c31]Julien Leblay, Melisachew Wudage Chekol, Xin Liu:
Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision. CIKM 2020: 685-694 - [c30]Melisachew Wudage Chekol, Giuseppe Pirrò:
Refining Node Embeddings via Semantic Proximity. ISWC (1) 2020: 74-91 - [i2]Christian Meilicke, Melisachew Wudage Chekol, Manuel Fink, Heiner Stuckenschmidt:
Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion. CoRR abs/2004.04412 (2020)
2010 – 2019
- 2019
- [c29]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Leveraging Graph Neighborhoods for Efficient Inference. CIKM 2019: 1893-1902 - [c28]Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt:
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion. IJCAI 2019: 3137-3143 - [c27]Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt:
An Introduction to AnyBURL. KI 2019: 244-248 - [c26]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Time-Aware Probabilistic Knowledge Graphs. TIME 2019: 8:1-8:17 - [c25]Melisachew Wudage Chekol, Giuseppe Pirrò, Heiner Stuckenschmidt:
Fast Interval Joins for Temporal SPARQL Queries. WWW (Companion Volume) 2019: 1148-1154 - 2018
- [j2]Melisachew Wudage Chekol, Jérôme Euzenat, Pierre Genevès, Nabil Layaïda:
SPARQL Query Containment Under Schema. J. Data Semant. 7(3): 133-154 (2018) - [c24]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Towards Partition-Aware Lifted Inference. CIKM 2018: 1823-1826 - [c23]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Tractable reasoning in probabilistic OWL profiles. SAC 2018: 888-895 - [c22]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Towards Probabilistic Bitemporal Knowledge Graphs. WWW (Companion Volume) 2018: 1757-1762 - [c21]Julien Leblay, Melisachew Wudage Chekol:
Deriving Validity Time in Knowledge Graph. WWW (Companion Volume) 2018: 1771-1776 - 2017
- [j1]Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt:
TeCoRe: Temporal Conflict Resolution in Knowledge Graphs. Proc. VLDB Endow. 10(12): 1929-1932 (2017) - [c20]Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt:
Marrying Uncertainty and Time in Knowledge Graphs. AAAI 2017: 88-94 - [c19]Melisachew Wudage Chekol:
Scaling Probabilistic Temporal Query Evaluation. CIKM 2017: 697-706 - [c18]Melisachew Wudage Chekol, Valeria Fionda, Giuseppe Pirrò:
Time Travel Queries in RDF Archives. MEPDaW/LDQ@ESWC 2017: 28-42 - [c17]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Rule Based Temporal Inference. ICLP (Technical Communications) 2017: 4:1-4:14 - [c16]Andreas Nolle, Melisachew Wudage Chekol, Christian Meilicke, German Nemirovski, Heiner Stuckenschmidt:
Automated Fine-Grained Trust Assessment in Federated Knowledge Bases. ISWC (1) 2017: 490-506 - 2016
- [c15]Melisachew Wudage Chekol:
On the Containment of SPARQL Queries under Entailment Regimes. AAAI 2016: 936-942 - [c14]Cheng Xie, Melisachew Wudage Chekol, Blerina Spahiu, Hongming Cai:
Leveraging Structural Information in Ontology Matching. AINA 2016: 1108-1115 - [c13]Andreas Nolle, Christian Meilicke, Melisachew Wudage Chekol, German Nemirovski, Heiner Stuckenschmidt:
Schema-Based Debugging of Federated Data Sources. ECAI 2016: 381-389 - [c12]Melisachew Wudage Chekol, Jakob Huber, Christian Meilicke, Heiner Stuckenschmidt:
Markov Logic Networks with Numerical Constraints. ECAI 2016: 1017-1025 - [c11]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Uncertain Temporal Knowledge Graphs. URSW@ISWC 2016: 1-12 - [c10]Melisachew Wudage Chekol, Giuseppe Pirrò:
Containment of Expressive SPARQL Navigational Queries. ISWC (1) 2016: 86-101 - [c9]Valeria Fionda, Melisachew Wudage Chekol, Giuseppe Pirrò:
Gize: A Time Warp in the Web of Data. ISWC (Posters & Demos) 2016 - 2015
- [i1]Melisachew Wudage Chekol, Jakob Huber, Heiner Stuckenschmidt:
Towards Log-Linear Logics with Concrete Domains. CoRR abs/1507.02456 (2015) - 2013
- [c8]Melisachew Wudage Chekol, Mehwish Alam, Amedeo Napoli:
A Study on the Correspondence between FCA and ELI Ontologies. CLA 2013: 237-248 - [c7]Mehwish Alam, Melisachew Wudage Chekol, Adrien Coulet, Amedeo Napoli, Malika Smaïl-Tabbone:
Lattice Based Data Access (LBDA): An Approach for Organizing and Accessing Linked Open Data in Biology. DMoLD 2013 - [c6]Melisachew Wudage Chekol, Amedeo Napoli:
An FCA Framework for Knowledge Discovery in SPARQL Query Answers. ISWC (Posters & Demos) 2013: 197-200 - [c5]Melisachew Wudage Chekol, Amedeo Napoli:
A Study on the Correspondence between FCA and ELI Ontologies. ISWC (Posters & Demos) 2013: 201-204 - [c4]Melisachew Wudage Chekol, Jérôme Euzenat, Pierre Genevès, Nabil Layaïda:
Evaluating and Benchmarking SPARQL Query Containment Solvers. ISWC (2) 2013: 408-423 - 2012
- [b1]Melisachew Wudage Chekol:
Static Analysis of Semantic Web Queries. (Analyse Statique de Requête pour le Web Se'mantique). Grenoble Alpes University, France, 2012 - [c3]Melisachew Wudage Chekol, Jérôme Euzenat, Pierre Genevès, Nabil Layaïda:
SPARQL Query Containment Under SHI Axioms. AAAI 2012: 10-16 - [c2]Melisachew Wudage Chekol, Jérôme Euzenat, Pierre Genevès, Nabil Layaïda:
SPARQL Query Containment under RDFS Entailment Regime. IJCAR 2012: 134-148 - 2011
- [c1]Melisachew Wudage Chekol, Jérôme Euzenat, Pierre Genevès, Nabil Layaïda:
PSPARQL Query Containment. DBPL 2011
Coauthor Index
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