PSPARQL Query Containment. - Melisachew Wudage Chekol; Jérôme Euzenat; Pierre Genevès; Nabil Layaïda (DBPL, 2011)

SPARQL Query Containment Under SHI Axioms. - Melisachew Wudage Chekol; Jérôme Euzenat; Pierre Genevès; Nabil Layaïda (AAAI, 2012)

SPARQL Query Containment under RDFS Entailment Regime. - Melisachew Wudage Chekol; Jérôme Euzenat; Pierre Genevès; Nabil Layaïda (IJCAR, 2012)

Static Analysis of Semantic Web Queries. (Analyse Statique de Requête pour le Web Se'mantique). - Melisachew Wudage Chekol (2012)

A Study on the Correspondence between FCA and ELI Ontologies. - Melisachew Wudage Chekol; Mehwish Alam; Amedeo Napoli (CLA, 2013)

Lattice Based Data Access (LBDA): An Approach for Organizing and Accessing Linked Open Data in Biology. - Mehwish Alam; Melisachew Wudage Chekol; Adrien Coulet; Amedeo Napoli; Malika Smaïl-Tabbone (DMoLD, 2013)

Evaluating and Benchmarking SPARQL Query Containment Solvers. - Melisachew Wudage Chekol; Jérôme Euzenat; Pierre Genevès; Nabil Layaïda (ISWC (2), 2013)

An FCA Framework for Knowledge Discovery in SPARQL Query Answers. - Melisachew Wudage Chekol; Amedeo Napoli (ISWC (Posters & Demos), 2013)

A Study on the Correspondence between FCA and ELI Ontologies. - Melisachew Wudage Chekol; Amedeo Napoli (ISWC (Posters & Demos), 2013)

Towards Log-Linear Logics with Concrete Domains. - Melisachew Wudage Chekol; Jakob Huber; Heiner Stuckenschmidt (CoRR, 2015)

On the Containment of SPARQL Queries under Entailment Regimes. - Melisachew Wudage Chekol (AAAI, 2016)

Leveraging Structural Information in Ontology Matching. - Cheng Xie; Melisachew Wudage Chekol; Blerina Spahiu; Hongming Cai 001 (AINA, 2016)

Markov Logic Networks with Numerical Constraints. - Melisachew Wudage Chekol; Jakob Huber; Christian Meilicke; Heiner Stuckenschmidt (ECAI, 2016)

Schema-Based Debugging of Federated Data Sources. - Andreas Nolle; Christian Meilicke; Melisachew Wudage Chekol; German Nemirovski; Heiner Stuckenschmidt (ECAI, 2016)

Containment of Expressive SPARQL Navigational Queries. - Melisachew Wudage Chekol; Giuseppe Pirrò (ISWC (1), 2016)

Uncertain Temporal Knowledge Graphs. - Melisachew Wudage Chekol; Heiner Stuckenschmidt (URSW@ISWC, 2016)

Gize: A Time Warp in the Web of Data. - Valeria Fionda; Melisachew Wudage Chekol; Giuseppe Pirrò (ISWC (Posters & Demos), 2016)

Marrying Uncertainty and Time in Knowledge Graphs. - Melisachew Wudage Chekol; Giuseppe Pirrò; Joerg Schoenfisch; Heiner Stuckenschmidt (AAAI, 2017)

Scaling Probabilistic Temporal Query Evaluation. - Melisachew Wudage Chekol (CIKM, 2017)

Time Travel Queries in RDF Archives. - Melisachew Wudage Chekol; Valeria Fionda; Giuseppe Pirrò (MEPDaW/LDQ@ESWC, 2017)

Rule Based Temporal Inference. - Melisachew Wudage Chekol; Heiner Stuckenschmidt (ICLP (Technical Communications), 2017)

Automated Fine-Grained Trust Assessment in Federated Knowledge Bases. - Andreas Nolle; Melisachew Wudage Chekol; Christian Meilicke; German Nemirovski; Heiner Stuckenschmidt (ISWC (1), 2017)

TeCoRe: Temporal Conflict Resolution in Knowledge Graphs. - Melisachew Wudage Chekol; Giuseppe Pirrò; Joerg Schoenfisch; Heiner Stuckenschmidt (Proc. VLDB Endow., 2017)

Towards Partition-Aware Lifted Inference. - Melisachew Wudage Chekol; Heiner Stuckenschmidt (CIKM, 2018)

Tractable reasoning in probabilistic OWL profiles. - Melisachew Wudage Chekol; Heiner Stuckenschmidt (SAC, 2018)

Towards Probabilistic Bitemporal Knowledge Graphs. - Melisachew Wudage Chekol; Heiner Stuckenschmidt (WWW (Companion Volume), 2018)

Deriving Validity Time in Knowledge Graph. - Julien Leblay; Melisachew Wudage Chekol (WWW (Companion Volume), 2018)

SPARQL Query Containment Under Schema. - Melisachew Wudage Chekol; Jérôme Euzenat; Pierre Genevès; Nabil Layaïda (J. Data Semant., 2018)

Leveraging Graph Neighborhoods for Efficient Inference. - Melisachew Wudage Chekol; Heiner Stuckenschmidt (CIKM, 2019)

Anytime Bottom-Up Rule Learning for Knowledge Graph Completion. - Christian Meilicke; Melisachew Wudage Chekol; Daniel Ruffinelli; Heiner Stuckenschmidt (IJCAI, 2019)

An Introduction to AnyBURL. - Christian Meilicke; Melisachew Wudage Chekol; Daniel Ruffinelli; Heiner Stuckenschmidt (KI, 2019)

Time-Aware Probabilistic Knowledge Graphs. - Melisachew Wudage Chekol; Heiner Stuckenschmidt (TIME, 2019)

Fast Interval Joins for Temporal SPARQL Queries. - Melisachew Wudage Chekol; Giuseppe Pirrò; Heiner Stuckenschmidt (WWW (Companion Volume), 2019)

Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision. - Julien Leblay; Melisachew Wudage Chekol; Xin Liu 020 (CIKM, 2020)

Refining Node Embeddings via Semantic Proximity. - Melisachew Wudage Chekol; Giuseppe Pirrò (ISWC (1), 2020)

Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion. - Christian Meilicke; Melisachew Wudage Chekol; Manuel Fink; Heiner Stuckenschmidt (CoRR, 2020)

Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs. - Wessel Radstok; Mel Chekol; Yannis Velegrakis (ICTAI, 2021)

Tensor Decomposition for Link Prediction in Temporal Knowledge Graphs. - Melisachew Wudage Chekol (K-CAP, 2021)

Are Knowledge Graph Embedding Models Biased, or Is it the Data That They Are Trained on? - Wessel Radstok; Melisachew Wudage Chekol; Mirko Tobias Schäfer (Wikidata@ISWC, 2021)

Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs. - Wessel Radstok; Mel Chekol (CoRR, 2021)

MGTCOM: Community Detection in Multimodal Graphs. - Egor Dmitriev; Mel W. Chekol; Shihan Wang 001 (CoRR, 2022)

Leveraging Graph Embedding for Opinion Leader Detection in Dynamic Social Networks. - Yunming Hui; Mel Chekol; Shihan Wang 001 (ECAI Workshops (2), 2023)

Leveraging Graph Embeddings for Opinion Leader Detection. - Yunming Hui; Luuk Buijsman; Mel Chekol; Shihan Wang 001 (CoRR, 2023)

BOLD: Knowledge Graph Exploration and Analysis Platform. - Egor Dmitriev; Melisachew Wudage Chekol; Mirko Tobias Schäfer (EDBT, 2024)

Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs. - Duygu Sezen Islakoglu; Melisachew Wudage Chekol; Yannis Velegrakis (ESWC (1), 2024)

Non-Progressive Influence Maximization in Dynamic Social Networks. - Yunming Hui; Shihan Wang 001; Melisachew Wudage Chekol; Stevan Rudinac; Inez Maria Zwetsloot (CoRR, 2024)

Anytime bottom-up rule learning for large-scale knowledge graph completion. - Christian Meilicke; Melisachew Wudage Chekol; Patrick Betz; Manuel Fink; Heiner Stuckenschmidt (VLDB J., 2024)

Training-Free Score Calibration for Complex Query Decomposition. - Simon Ott; Melisachew Wudage Chekol; Christian Meilicke; Heiner Stuckenschmidt (ESWC (1), 2025)

Correction: Anytime bottom-up rule learning for large-scale knowledge graph completion. - Christian Meilicke; Melisachew Wudage Chekol; Patrick Betz; Manuel Fink; Heiner Stuckenschmidt (VLDB J., 2025)