Michael Cochez

According to our database, Michael Cochez authored at least 85 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A knowledge graph approach to predict and interpret disease-causing gene interactions.

Alexandre Renaux, Chloé Terwagne, Michael Cochez, Ilaria Tiddi, Ann Nowé, Tom Lenaerts

BMC Bioinform., December, 2023

BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs.

Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth

J. Biomed. Semant., December, 2023

Explainable AI for Bioinformatics: Methods, Tools and Applications.

Md. Rezaul Karim, Tanhim Islam, Md Shajalal, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker

Briefings Bioinform., September, 2023

Approximate Answering of Graph Queries.

Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Structural Summarization of Semantic Graphs Using Quotients.

Ansgar Scherp, David Richerby, Till Blume, Michael Cochez, Jannik Rau

TGDK, 2023

Knowledge Graph Embeddings: Open Challenges and Opportunities.

Russa Biswas, Lucie-Aimée Kaffee, Michael Cochez, Stefania Dumbrava, Theis E. Jendal, Matteo Lissandrini, Vanessa López, Eneldo Loza Mencía, Heiko Paulheim, Harald Sack, Edlira Vakaj, Gerard de Melo

TGDK, 2023

GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs.

Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein

CoRR, 2023

DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency.

Azhar Shaikh, Michael Cochez, Denis Diachkov, Michiel de Rijcke, Sahar Yousefi

CoRR, 2023

Approximate Answering of Graph Queries.

Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren

CoRR, 2023

Geometric Relational Embeddings: A Survey.

Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab

CoRR, 2023

Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases.

Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec

CoRR, 2023

Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning.

Joze M. Rozanec, Michael Cochez, Ruud van Bakel, Brian Elvesæter, Dumitru Roman

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Qualifier Recommendation for Wikidata.

Andrei Mihai Ducu, Michael Cochez

Proceedings of the Wikidata Workshop 2023 co-located with 22nd International Semantic Web Conference (ISWC 2023), 2023

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering.

Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin.

Martin Molan, Junaid Ahmed Khan, Andrea Bartolini, Roberta Turra, Giorgio Pedrazzi, Michael Cochez, Alexandru Iosup, Dumitru Roman, Joze M. Rozanec, Ana Lucia Varbanescu, Radu Prodan

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings.

Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Machine with Short-Term, Episodic, and Semantic Memory Systems.

Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Bengali Hate Speech Detection Dataset.

Sumon Kanti Dey, Michael Cochez, Md. Rezaul Karim

Dataset, April, 2022

Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing.

Md. Rezaul Karim, Michael Cochez, Achille Zappa, Ratnesh Sahay, Dietrich Rebholz-Schuhmann, Oya Beyan, Stefan Decker

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Editorial of the Special Issue on Deep Learning and Knowledge Graphs.

Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack

Semantic Web, 2022

Towards a standard-based open data ecosystem: analysis of DCAT-AP use at national and European level.

Florian Barthélemy, Michael Cochez, Iraklis Dimitriadis, Naila Karim, Nikolaos Loutas, Ioannis Magnisalis, Lina Molinas Comet, Vassilios Peristeras, Brecht Wyns

Electron. Gov. an Int. J., 2022

Knowledge Graphs.

Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann

ACM Comput. Surv., 2022

Explainable AI for Bioinformatics: Methods, Tools, and Applications.

Md. Rezaul Karim, Tanhim Islam, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker

CoRR, 2022

QAGCN: A Graph Convolutional Network-based Multi-Relation Question Answering System.

Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein

CoRR, 2022

A Machine With Human-Like Memory Systems.

Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen

CoRR, 2022

Scaling R-GCN Training with Graph Summarization.

Alessandro Generale, Till Blume, Michael Cochez

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Hyperbolic Embedding Inference for Structured Multi-Label Prediction.

Bo Xiong, Michael Cochez, Mojtaba Nayyeri, Steffen Staab

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scientific Item Recommendation Using a Citation Network.

Xu Wang, Frank van Harmelen, Michael Cochez, Zhisheng Huang

Proceedings of the Knowledge Science, Engineering and Management, 2022

Prompting as Probing: Using Language Models for Knowledge Base Construction.

Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam

Proceedings of the Semantic Web Challenge on Knowledge Base Construction from Pre-trained Language Models 2022 co-located with the 21st International Semantic Web Conference (ISWC2022), 2022

Complex Query Answering with Neural Link Predictors (Extended Abstract).

Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Query Embedding on Hyper-Relational Knowledge Graphs.

Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin

Proceedings of the Tenth International Conference on Learning Representations, 2022

SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning.

Daniel Daza, Michael Cochez, Paul Groth

Proceedings of the Sixth Workshop on Structured Prediction for NLP, 2022

Potential Energy to Improve Link Prediction With Relational Graph Neural Networks.

Simone Colombo, Dimitrios Alivanistos, Michael Cochez

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022

2021

Knowledge Graphs

Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann

Synthesis Lectures on Data, Semantics, and Knowledge, Morgan & Claypool Publishers, ISBN: 978-3-031-01918-0, 2021

Updating Embeddings for Dynamic Knowledge Graphs.

Christopher Wewer, Florian Lemmerich, Michael Cochez

CoRR, 2021

Secure Evaluation of Knowledge Graph Merging Gain.

Leandro Eichenberger, Michael Cochez, Benjamin Heitmann, Stefan Decker

CoRR, 2021

Deep learning-based clustering approaches for bioinformatics.

Md. Rezaul Karim, Oya Beyan, Achille Zappa, Ivan G. Costa, Dietrich Rebholz-Schuhmann, Michael Cochez, Stefan Decker

Briefings Bioinform., 2021

DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging.

Md. Rezaul Karim, Jiao Jiao, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker

IEEE Access, 2021

Inductive Entity Representations from Text via Link Prediction.

Daniel Daza, Michael Cochez, Paul Groth

Proceedings of the WWW '21: The Web Conference 2021, 2021

Complex Query Answering with Neural Link Predictors.

Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez

Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Easy Vocabulary Drafts with Neologism 2.0.

Johannes Lipp, Lars Christoph Gleim, Michael Cochez, Iraklis Dimitriadis, Hussain Ali, Daniel Hoppe Alvarez, Christoph Lange, Stefan Decker

Proceedings of the Semantic Web: ESWC 2021 Satellite Events, 2021

Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data.

Arnab Chakrabarti, Abhijeet Das, Michael Cochez, Christoph Quix

Proceedings of the Advances in Databases and Information Systems, 2021

2020

Structured query construction via knowledge graph embedding.

Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker

Knowl. Inf. Syst., 2020

DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images.

Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann, Stefan Decker, Michael Cochez, Oya Beyan

CoRR, 2020

Message Passing for Query Answering over Knowledge Graphs.

Daniel Daza, Michael Cochez

CoRR, 2020

Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification.

Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez

Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2020

GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques.

Maria Angela Pellegrino, Abdulrahman Altabba, Martina Garofalo, Petar Ristoski, Michael Cochez

Proceedings of the Semantic Web - 17th International Conference, 2020

SchemaTree: Maximum-Likelihood Property Recommendation for Wikidata.

Lars Christoph Gleim, Rafael Schimassek, Dominik Hüser, Maximilian Peters, Christoph Krämer, Michael Cochez, Stefan Decker

Proceedings of the Semantic Web - 17th International Conference, 2020

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network.

Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae, Michael Cochez

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images.

Md. Rezaul Karim, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces.

Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker

Int. J. Artif. Intell. Tools, 2019

Privacy Attacks on Network Embeddings.

Michael Ellers, Michael Cochez, Tobias Schumacher, Markus Strohmaier, Florian Lemmerich

CoRR, 2019

Linked Open Data Validity - A Technical Report from ISWS 2018.

Tayeb Abderrahmani Ghor, Esha Agrawal, Mehwish Alam, Omar Alqawasmeh, Claudia d'Amato, Amina Annane, Amr Azzam, Andrew Berezovskyi, Russa Biswas, Mathias Bonduel, Quentin Brabant, Cristina-Iulia Bucur, Elena Camossi, Valentina Anita Carriero, Shruthi Chari, David Chaves-Fraga, Fiorela Ciroku, Michael Cochez, Hubert Curien, Vincenzo Cutrona, Rahma Dandan, Danilo Dessì, Valerio Di Carlo, Ahmed El Amine Djebri, Marieke van Erp, Faiq Miftakhul Falakh, Alba Fernndez Izquierdo, Giuseppe Futia, Aldo Gangemi, Simone Gasperoni, Arnaud Grall, Lars Heling, Pierre Henri, Noura Herradi, Subhi Issa, Samaneh Jozashoori, Nyoman Juniarta, Lucie-Aimée Kaffee, Ilkcan Keles, Prashant Khare, Viktor Kovtun, Valentina Leone, Siying Li, Sven Lieber, Pasquale Lisena, Tatiana Makhalova, Ludovica Marinucci, Thomas Minier, Benjamin Moreau, Alberto Moya Loustaunau, Durgesh Nandini, Sylwia Ozdowska, Amanda Pacini de Moura, Swati Padhee, Guillermo Palma, Pedro Del Pozo Jimnez, Valentina Presutti, Roberto Reda, Ettore Rizza, Henry Rosales-mndez, Sebastian Rudolph, Harald Sack, Luca Sciullo, Humasak Simanjuntak, Carlo Stomeo, Thiviyan Thanapalasingam, Tabea Tietz, Dalia Varanka, Maria-Esther Vidal, Michael Wolowyk, Maximilian Zocholl

CoRR, 2019

A Configurable Evaluation Framework for Node Embedding Techniques.

Maria Angela Pellegrino, Michael Cochez, Martina Garofalo, Petar Ristoski

Proceedings of the Semantic Web: ESWC 2019 Satellite Events, 2019

Leveraging Knowledge Graph Embeddings for Natural Language Question Answering.

Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker

Proceedings of the Database Systems for Advanced Applications, 2019

Message Passing for Complex Question Answering over Knowledge Graphs.

Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data.

Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network.

Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mamtaz Uddin, Oya Beyan, Stefan Decker

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach.

Md. Rezaul Karim, Michael Cochez, Oya Deniz Beyan, Chowdhury Farhan Ahmed, Stefan Decker

Inf. Sci., 2018

Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases.

Martina Garofalo, Maria Angela Pellegrino, Abdulrahman Altabba, Michael Cochez

CoRR, 2018

Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction.

Md. Rezaul Karim, Michael Cochez, Oya Beyan, Achille Zappa, Ratnesh Sahay, Stefan Decker, Dietrich Rebholz-Schuhmann

CoRR, 2018

On the computation of Shannon Entropy from Counting Bloom Filters.

Michael Cochez

CoRR, 2018

BigNet 2018 Chairs' Welcome & Organization.

Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas.

Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Measuring Semantic Coherence of a Conversation.

Svitlana Vakulenko, Maarten de Rijke, Michael Cochez, Vadim Savenkov, Axel Polleres

Proceedings of the Semantic Web - ISWC 2018, 2018

A First Experiment on Including Text Literals in KGloVe.

Michael Cochez, Martina Garofalo, Jérôme Lenßen, Maria Angela Pellegrino

Proceedings of the Joint proceedings of the 4th Workshop on Semantic Deep Learning (SemDeep-4) and NLIWoD4: Natural Language Interfaces for the Web of Data (NLIWOD-4) and 9th Question Answering over Linked Data challenge (QALD-9) co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, California, United States of America, October 8th, 2018

2017

Large Scale Knowledge Matching with Balanced Efficiency-Effectiveness Using LSH Forest.

Michael Cochez, Vagan Y. Terziyan, Vadim Ermolayev

Trans. Comput. Collect. Intell., 2017

Biased graph walks for RDF graph embeddings.

Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, Heiko Paulheim

Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues.

Md. Rezaul Karim, Matthias Heinrichs, Lars Christoph Gleim, Michael Cochez, Emily Porter, Alessandra La Gioia, Saqib Salahuddin, Stefan Decker, Martin O'Halloran, Oya Beyan

Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017), 2017

Global RDF Vector Space Embeddings.

Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, Heiko Paulheim

Proceedings of the Semantic Web - ISWC 2017, 2017

The Future of the Semantic Web: Prototypes on a Global Distributed Filesystem.

Michael Cochez, Dominik Hüser, Stefan Decker

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2016

Knowledge Representation on the Web revisited: Tools for Prototype Based Ontologies.

Michael Cochez, Stefan Decker, Eric Prud'hommeaux

CoRR, 2016

Knowledge Representation on the Web Revisited: The Case for Prototypes.

Michael Cochez, Stefan Decker, Eric Prud'hommeaux

Proceedings of the Semantic Web - ISWC 2016, 2016

Using Distributional Semantics for Automatic Taxonomy Induction.

Bushra Zafar, Michael Cochez, Usman Qamar

Proceedings of the International Conference on Frontiers of Information Technology, 2016

TB-Structure: Collective Intelligence for Exploratory Keyword Search.

Vagan Y. Terziyan, Mariia Golovianko, Michael Cochez

Proceedings of the Semantic Keyword-Based Search on Structured Data Sources, 2016

2015

Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks.

Sergey Chernov, Michael Cochez, Tapani Ristaniemi

Proceedings of the IEEE 81st Vehicular Technology Conference, 2015

Scalable Hierarchical Clustering: Twister Tries with a Posteriori Trie Elimination.

Michael Cochez, Ferrante Neri

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Twister Tries: Approximate Hierarchical Agglomerative Clustering for Average Distance in Linear Time.

Michael Cochez, Hao Mou

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Balanced Large Scale Knowledge Matching Using LSH Forest.

Michael Cochez, Vagan Y. Terziyan, Vadim Ermolayev

Proceedings of the Semantic Keyword-Based Search on Structured Data Sources, 2015

2014

Locality-Sensitive Hashing for Massive String-Based Ontology Matching.

Michael Cochez

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Challenges and Confusions in Learning Version Control with Git.

Ville Isomöttönen, Michael Cochez

Proceedings of the Information and Communication Technologies in Education, Research, and Industrial Applications, 2014

2013

Issues with a course that emphasizes self-direction.

Ville Isomöttönen, Ville Tirronen, Michael Cochez

Proceedings of the Innovation and Technology in Computer Science Education conference 2013, 2013

How Do Computer Science Students Use Distributed Version Control Systems?

Michael Cochez, Ville Isomöttönen, Ville Tirronen, Jonne Itkonen

Proceedings of the Information and Communication Technologies in Education, Research, and Industrial Applications, 2013

The Use of Distributed Version Control Systems in Advanced Programming Courses.

Michael Cochez, Ville Isomöttönen, Ville Tirronen, Jonne Itkonen

Proceedings of the 9th International Conference on ICT in Education, 2013

2012

Quality of an Ontology as a Dynamic Optimisation Problem.

Michael Cochez, Vagan Y. Terziyan

Proceedings of the 8th International Conference on ICT in Education, 2012