Michael Cochez

132 papers A* 8A 4B 6C 4Misc 4Journal 59Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Counting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation. Trans. Mach. Learn. Res. Yannick Brunink, Daniel Daza, Yunjie He, Michael Cochez
2026	J	`jnl`	Explaining Graph Neural Networks for Node Similarity on Graphs. Trans. Mach. Learn. Res. Daniel Daza, Cuong Xuan Chu, Trung-Kien Tran, Daria Stepanova, Michael Cochez, Paul Groth
2025	A	`conf`	Bias by Design: Diversity Quantification to Mitigate Structural Bias Effects in AIG Logic Optimization. DATE Isabella Venancia Gardner, Marcel Walter, Yukio Miyasaka, Robert Wille, Michael Cochez
2025	J	`jnl`	Counting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation. CoRR Yannick Brunink, Daniel Daza, Yunjie He, Michael Cochez
2025	C	`conf`	Do Graph Neural Network States Contain Graph Properties? NeSy Tom Pelletreau-Duris, Ruud van Bakel, Michael Cochez
2025	J	`jnl`	Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints. CoRR Daniel Daza, Alberto Bernardi, Luca Costabello, Christophe Guéret, Masoud Mansoury, Michael Cochez, Martijn Schut
2025	—	`conf`	Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi 2025) - LLMs meet KGs: Summary. SEMANTiCS (Posters, Demos, Workshops & Tutorials) Diego Rincon-Yanez, Wilma Johanna Schmidt, Evgeny Kharlamov, Michael Cochez, Adrian Paschke, Declan O'Sullivan
2025	J	`jnl`	SemBench: A Benchmark for Semantic Query Processing Engines. CoRR Jiale Lao, Andreas Zimmerer, Olga Ovcharenko, Tianji Cong, Matthew Russo, Gerardo Vitagliano, Michael Cochez, Fatma Özcan, Gautam Gupta, Thibaud Hottelier, H. V. Jagadish, Kris Kissel, Sebastian Schelter, Andreas Kipf, Immanuel Trummer
2025	C	`conf`	The ART of Link Prediction with KGEs. NeSy Yannick Brunink, Michael Cochez, Jacopo Urbani
2025	—	`conf`	Towards Conceptual Clustering in EL with Simulation Graphs. DL Ruud van Bakel, Michael Cochez, Patrick Koopmann
2024	—	`conf`	Back to the Future: predicting causal relationships influencing oil prices. Tiny Papers @ ICLR Joze M. Rozanec, Beno Sircelj, Michael Cochez, Gregor Leban
2024	J	`jnl`	Do graph neural network states contain graph properties? CoRR Tom Pelletreau-Duris, Ruud van Bakel, Michael Cochez
2024	J	`jnl`	Explaining Graph Neural Networks for Node Similarity on Graphs. CoRR Daniel Daza, Cuong Xuan Chu, Trung-Kien Tran, Daria Stepanova, Michael Cochez, Paul Groth
2024	—	`conf`	First International Workshop on Scaling Knowledge Graphs for Industry: Summary. SEMANTiCS (Posters, Demos, Workshops & Tutorials) Michael Cochez, Evgeny Kharlamov, Radu Prodan
2024	—	`ed.`	Joint proceedings of the 3rd International workshop on knowledge graph generation from text (TEXT2KG) and Data Quality meets Machine Learning and Knowledge Graphs (DQMLKG) co-located with the Extended Semantic Web Conference ( ESWC 2024), Hersonissos, Greece, May 26-30, 2024. TEXT2KG/DQMLKG@ESWC Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal, Maria Angela Pellegrino, Anisa Rula, José Emilio Labra Gayo, Michael Cochez, Mehwish Alam
2024	J	`jnl`	Leveraging Knowledge Graph-Based Human-Like Memory Systems to Solve Partially Observable Markov Decision Processes. CoRR Taewoon Kim, Vincent François-Lavet, Michael Cochez
2024	J	`jnl`	Neural Graph Reasoning: A Survey on Complex Logical Query Answering. Trans. Mach. Learn. Res. Hongyu Ren, Mikhail Galkin, Zhaocheng Zhu, Jure Leskovec, Michael Cochez
2024	—	`conf`	QAGCN: Answering Multi-relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs. ESWC (1) Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein
2024	—	`conf`	The Effect of Knowledge Graph Schema on Classifying Future Research Suggestions. NSLP Dimitrios Alivanistos, Seth van der Bijl, Michael Cochez, Frank van Harmelen
2024	—	`conf`	UnRavL: A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs. LoG Tamara Cucumides, Daniel Daza, Pablo Barceló, Michael Cochez, Floris Geerts, Juan L. Reutter, Miguel Romero
2024	A*	`conf`	Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). KDD Mehwish Alam, Davide Buscaldi, Michael Cochez, Genet Asefa Gesese, Francesco Osborne, Diego Reforgiato Recupero
2023	A*	`conf`	A Machine with Short-Term, Episodic, and Semantic Memory Systems. AAAI Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen
2023	J	`jnl`	A knowledge graph approach to predict and interpret disease-causing gene interactions. BMC Bioinform. Alexandre Renaux, Chloé Terwagne, Michael Cochez, Ilaria Tiddi, Ann Nowé, Tom Lenaerts
2023	A*	`conf`	Adapting Neural Link Predictors for Data-Efficient Complex Query Answering. NeurIPS Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
2023	J	`jnl`	Approximate Answering of Graph Queries. CoRR Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023	—	`ch.`	Approximate Answering of Graph Queries. Compendium of Neurosymbolic Artificial Intelligence Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023	J	`jnl`	BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs. CoRR Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth
2023	J	`jnl`	BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs. J. Biomed. Semant. Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth
2023	J	`jnl`	DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency. CoRR Azhar Shaikh, Michael Cochez, Denis Diachkov, Michiel de Rijcke, Sahar Yousefi
2023	J	`jnl`	Explainable AI for Bioinformatics: Methods, Tools and Applications. Briefings Bioinform. Md. Rezaul Karim, Tanhim Islam, Md Shajalal, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker
2023	J	`jnl`	GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs. CoRR Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein
2023	J	`jnl`	Geometric Relational Embeddings: A Survey. CoRR Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab
2023	—	`conf`	Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning. ICPE (Companion) Joze M. Rozanec, Michael Cochez, Ruud van Bakel, Brian Elvesæter, Dumitru Roman
2023	J	`jnl`	Knowledge Graph Embeddings: Open Challenges and Opportunities. TGDK 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
2023	J	`jnl`	Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. CoRR Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec
2023	—	`ed.`	Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), Virtual Conference, online, October 24, 2022. DL4KG@ISWC Mehwish Alam, Michael Cochez
2023	—	`ed.`	Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2023) co-located with the 21th International Semantic Web Conference (ISWC 2023), Athens, November 6-10, 2023. DL4KG@ISWC Mehwish Alam, Michael Cochez
2023	—	`conf`	Qualifier Recommendation for Wikidata. Wikidata@ISWC Andrei Mihai Ducu, Michael Cochez
2023	A	`conf`	Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. CIKM Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez
2023	J	`jnl`	Structural Summarization of Semantic Graphs Using Quotients. TGDK Ansgar Scherp, David Richerby, Till Blume, Michael Cochez, Jannik Rau
2023	B	`conf`	The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. COMPSAC 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
2022	J	`jnl`	A Machine With Human-Like Memory Systems. CoRR Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen
2022	J	`jnl`	A Machine with Short-Term, Episodic, and Semantic Memory Systems. CoRR Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen
2022	A*	`conf`	Complex Query Answering with Neural Link Predictors (Extended Abstract). IJCAI Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez
2022	J	`jnl`	Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing. IEEE ACM Trans. Comput. Biol. Bioinform. Md. Rezaul Karim, Michael Cochez, Achille Zappa, Ratnesh Sahay, Dietrich Rebholz-Schuhmann, Oya Beyan, Stefan Decker
2022	J	`jnl`	Editorial of the Special Issue on Deep Learning and Knowledge Graphs. Semantic Web Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack
2022	J	`jnl`	Explainable AI for Bioinformatics: Methods, Tools, and Applications. CoRR Md. Rezaul Karim, Tanhim Islam, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker
2022	A*	`conf`	Hyperbolic Embedding Inference for Structured Multi-Label Prediction. NeurIPS Bo Xiong, Michael Cochez, Mojtaba Nayyeri, Steffen Staab
2022	J	`jnl`	Knowledge Graphs. ACM Comput. Surv. 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
2022	—	`conf`	Potential Energy to Improve Link Prediction With Relational Graph Neural Networks. AAAI Spring Symposium: MAKE Simone Colombo, Dimitrios Alivanistos, Michael Cochez
2022	—	`conf`	Prompting as Probing: Using Language Models for Knowledge Base Construction. LM-KBC@ISWC Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam
2022	J	`jnl`	Prompting as Probing: Using Language Models for Knowledge Base Construction. CoRR Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam
2022	J	`jnl`	QAGCN: A Graph Convolutional Network-based Multi-Relation Question Answering System. CoRR Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein
2022	A*	`conf`	Query Embedding on Hyper-Relational Knowledge Graphs. ICLR Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
2022	—	`conf`	Scaling R-GCN Training with Graph Summarization. WWW (Companion Volume) Alessandro Generale, Till Blume, Michael Cochez
2022	J	`jnl`	Scaling R-GCN Training with Graph Summarization. CoRR Alessandro Generale, Till Blume, Michael Cochez
2022	—	`conf`	Scientific Item Recommendation Using a Citation Network. KSEM (2) Xu Wang, Frank van Harmelen, Michael Cochez, Zhisheng Huang
2022	—	`conf`	SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning. SPNLP@ACL Daniel Daza, Michael Cochez, Paul Groth
2022	J	`jnl`	Towards a standard-based open data ecosystem: analysis of DCAT-AP use at national and European level. Electron. Gov. an Int. J. Florian Barthélemy, Michael Cochez, Iraklis Dimitriadis, Naila Karim, Nikolaos Loutas, Ioannis Magnisalis, Lina Molinas Comet, Vassilios Peristeras, Brecht Wyns
2021	J	`jnl`	Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. CoRR Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez
2021	A*	`conf`	Complex Query Answering with Neural Link Predictors. ICLR Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez
2021	J	`jnl`	Deep learning-based clustering approaches for bioinformatics. Briefings Bioinform. Md. Rezaul Karim, Oya Beyan, Achille Zappa, Ivan G. Costa, Dietrich Rebholz-Schuhmann, Michael Cochez, Stefan Decker
2021	J	`jnl`	DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging. IEEE Access Md. Rezaul Karim, Jiao Jiao, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker
2021	—	`ed.`	Graph Structures for Knowledge Representation and Reasoning - 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers GKR Michael Cochez, Madalina Croitoru, Pierre Marquis, Sebastian Rudolph
2021	A*	`conf`	Inductive Entity Representations from Text via Link Prediction. WWW Daniel Daza, Michael Cochez, Paul Groth
2021	—	`book`	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
2021	—	`ed.`	Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual Conference, online, October 25, 2021. DL4KG@ISWC Mehwish Alam, Davide Buscaldi, Michael Cochez, Diego Reforgiato Recupero, Harald Sack
2021	J	`jnl`	Query Embedding on Hyper-relational Knowledge Graphs. CoRR Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
2021	J	`jnl`	Secure Evaluation of Knowledge Graph Merging Gain. CoRR Leandro Eichenberger, Michael Cochez, Benjamin Heitmann, Stefan Decker
2021	—	`conf`	Towards Easy Vocabulary Drafts with Neologism 2.0. ESWC (Satellite Events) Johannes Lipp, Lars Christoph Gleim, Michael Cochez, Iraklis Dimitriadis, Hussain Ali, Daniel Hoppe Alvarez, Christoph Lange, Stefan Decker
2021	C	`conf`	Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data. ADBIS Arnab Chakrabarti, Abhijeet Das, Michael Cochez, Christoph Quix
2021	J	`jnl`	Updating Embeddings for Dynamic Knowledge Graphs. CoRR Christopher Wewer, Florian Lemmerich, Michael Cochez
2020	—	`conf`	Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. GKR Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez
2020	B	`conf`	Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. DSAA Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae, Michael Cochez
2020	J	`jnl`	Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. CoRR Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae, Michael Cochez
2020	J	`jnl`	Complex Query Answering with Neural Link Predictors. CoRR Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez
2020	—	`conf`	DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images. BIBM Md. Rezaul Karim, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker
2020	J	`jnl`	DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images. CoRR Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann, Stefan Decker, Michael Cochez, Oya Beyan
2020	B	`conf`	GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques. ESWC Maria Angela Pellegrino, Abdulrahman Altabba, Martina Garofalo, Petar Ristoski, Michael Cochez
2020	J	`jnl`	Inductive Entity Representations from Text via Link Prediction. CoRR Daniel Daza, Michael Cochez, Paul Groth
2020	J	`jnl`	Knowledge Graphs. CoRR Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann
2020	J	`jnl`	Message Passing for Query Answering over Knowledge Graphs. CoRR Daniel Daza, Michael Cochez
2020	—	`ed.`	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. DL4KG@ESWC Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack
2020	B	`conf`	SchemaTree: Maximum-Likelihood Property Recommendation for Wikidata. ESWC Lars Christoph Gleim, Rafael Schimassek, Dominik Hüser, Maximilian Peters, Christoph Krämer, Michael Cochez, Stefan Decker
2020	J	`jnl`	Structured query construction via knowledge graph embedding. Knowl. Inf. Syst. Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker
2020	B	`ed.`	The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings ESWC Andreas Harth, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo, Heiko Paulheim, Anisa Rula, Anna Lisa Gentile, Peter Haase, Michael Cochez
2020	—	`ed.`	The Semantic Web: ESWC 2020 Satellite Events - ESWC 2020 Satellite Events, Heraklion, Crete, Greece, May 31 - June 4, 2020, Revised Selected Papers ESWC (Satellite Events) Andreas Harth, Valentina Presutti, Raphaël Troncy, Maribel Acosta, Axel Polleres, Javier D. Fernández, Josiane Xavier Parreira, Olaf Hartig, Katja Hose, Michael Cochez
2019	—	`conf`	A Configurable Evaluation Framework for Node Embedding Techniques. ESWC (Satellite Events) Maria Angela Pellegrino, Michael Cochez, Martina Garofalo, Petar Ristoski
2019	—	`conf`	Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. BCB Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mamtaz Uddin, Oya Beyan, Stefan Decker
2019	J	`jnl`	Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. CoRR Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mamtaz Uddin, Oya Beyan, Stefan Decker
2019	—	`conf`	Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. DASFAA (1) Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker
2019	J	`jnl`	Linked Open Data Validity - A Technical Report from ISWS 2018. CoRR 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-Méndez, Sebastian Rudolph, Harald Sack, Luca Sciullo, Humasak Simanjuntak, Carlo Stomeo, Thiviyan Thanapalasingam, Tabea Tietz, Dalia Varanka, Maria-Esther Vidal, Michael Wolowyk, Maximilian Zocholl
2019	A	`conf`	Message Passing for Complex Question Answering over Knowledge Graphs. CIKM Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez
2019	J	`jnl`	Message Passing for Complex Question Answering over Knowledge Graphs. CoRR Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez
2019	C	`conf`	OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. BIBE Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange
2019	J	`jnl`	OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. CoRR Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange
2019	J	`jnl`	Privacy Attacks on Network Embeddings. CoRR Michael Ellers, Michael Cochez, Tobias Schumacher, Markus Strohmaier, Florian Lemmerich
2019	—	`ed.`	Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2019) Co-located with the 16th Extended Semantic Web Conference 2019 (ESWC 2019), Portoroz, Slovenia, June 2, 2019. DL4KG@ESWC Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack
2019	J	`jnl`	Structured Query Construction via Knowledge Graph Embedding. CoRR Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker
2019	J	`jnl`	Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces. Int. J. Artif. Intell. Tools Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker
2019	J	`jnl`	Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces. CoRR Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker
2018	—	`conf`	A First Experiment on Including Text Literals in KGloVe. Semdeep/NLIWoD@ISWC Michael Cochez, Martina Garofalo, Jérôme Lenßen, Maria Angela Pellegrino
2018	J	`jnl`	A First Experiment on Including Text Literals in KGloVe. CoRR Michael Cochez, Martina Garofalo, Jérôme Lenßen, Maria Angela Pellegrino
2018	—	`conf`	BigNet 2018 Chairs' Welcome & Organization. WWW (Companion Volume) Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger
2018	J	`jnl`	Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases. CoRR Martina Garofalo, Maria Angela Pellegrino, Abdulrahman Altabba, Michael Cochez
2018	—	`conf`	Measuring Semantic Coherence of a Conversation. ISWC (1) Svitlana Vakulenko, Maarten de Rijke, Michael Cochez, Vadim Savenkov, Axel Polleres
2018	J	`jnl`	Measuring Semantic Coherence of a Conversation. CoRR Svitlana Vakulenko, Maarten de Rijke, Michael Cochez, Vadim Savenkov, Axel Polleres
2018	J	`jnl`	Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach. Inf. Sci. Md. Rezaul Karim, Michael Cochez, Oya Deniz Beyan, Chowdhury Farhan Ahmed, Stefan Decker
2018	J	`jnl`	On the computation of Shannon Entropy from Counting Bloom Filters. CoRR Michael Cochez
2018	—	`ed.`	Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) co-located with the 15th Extended Semantic Web Conerence (ESWC 2018), Heraklion, Crete, Greece, June 4, 2018. DL4KGS@ESWC Michael Cochez, Thierry Declerck, Gerard de Melo, Luis Espinosa Anke, Besnik Fetahu, Dagmar Gromann, Mayank Kejriwal, Maria Koutraki, Freddy Lécué, Enrico Palumbo, Harald Sack
2018	J	`jnl`	Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction. CoRR Md. Rezaul Karim, Michael Cochez, Oya Beyan, Achille Zappa, Ratnesh Sahay, Stefan Decker, Dietrich Rebholz-Schuhmann
2018	—	`conf`	Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas. WIMS Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker
2017	—	`conf`	Biased graph walks for RDF graph embeddings. WIMS Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, Heiko Paulheim
2017	—	`conf`	Global RDF Vector Space Embeddings. ISWC (1) Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, Heiko Paulheim
2017	J	`jnl`	Large Scale Knowledge Matching with Balanced Efficiency-Effectiveness Using LSH Forest. Trans. Comput. Collect. Intell. Michael Cochez, Vagan Y. Terziyan, Vadim Ermolayev
2017	A	`conf`	The Future of the Semantic Web: Prototypes on a Global Distributed Filesystem. ICDCS Michael Cochez, Dominik Hüser, Stefan Decker
2017	—	`conf`	Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues. SWAT4LS Md. Rezaul Karim, Matthias Heinrichs, Lars Christoph Gleim, Michael Cochez, Emily Porter, Alessandra La Gioia, Saqib Salahuddin, Stefan Decker, Martin O'Halloran, Oya Beyan
2016	—	`conf`	Knowledge Representation on the Web Revisited: The Case for Prototypes. ISWC (1) Michael Cochez, Stefan Decker, Eric Prud'hommeaux
2016	J	`jnl`	Knowledge Representation on the Web revisited: Tools for Prototype Based Ontologies. CoRR Michael Cochez, Stefan Decker, Eric Prud'hommeaux
2016	—	`conf`	TB-Structure: Collective Intelligence for Exploratory Keyword Search. International KEYSTONE Conference Vagan Y. Terziyan, Mariia Golovianko, Michael Cochez
2016	—	`—`	Taming big knowledge evolution. Michael Cochez
2016	Misc	`conf`	Using Distributional Semantics for Automatic Taxonomy Induction. FIT Bushra Zafar, Michael Cochez, Usman Qamar
2015	—	`conf`	Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks. VTC Spring Sergey Chernov, Michael Cochez, Tapani Ristaniemi
2015	—	`conf`	Balanced Large Scale Knowledge Matching Using LSH Forest. International KEYSTONE Conference Michael Cochez, Vagan Y. Terziyan, Vadim Ermolayev
2015	—	`conf`	Scalable Hierarchical Clustering: Twister Tries with a Posteriori Trie Elimination. SSCI Michael Cochez, Ferrante Neri
2015	—	`conf`	Twister Tries: Approximate Hierarchical Agglomerative Clustering for Average Distance in Linear Time. SIGMOD Conference Michael Cochez, Hao Mou
2014	Misc	`conf`	Challenges and Confusions in Learning Version Control with Git. ICTERI Ville Isomöttönen, Michael Cochez
2014	—	`conf`	Locality-Sensitive Hashing for Massive String-Based Ontology Matching. WI-IAT (2) Michael Cochez
2013	—	`conf`	How Do Computer Science Students Use Distributed Version Control Systems? ICTERI (Revised Selected Papers) Michael Cochez, Ville Isomöttönen, Ville Tirronen, Jonne Itkonen
2013	B	`conf`	Issues with a course that emphasizes self-direction. ITiCSE Ville Isomöttönen, Ville Tirronen, Michael Cochez
2013	Misc	`conf`	The Use of Distributed Version Control Systems in Advanced Programming Courses. ICTERI Michael Cochez, Ville Isomöttönen, Ville Tirronen, Jonne Itkonen
2012	Misc	`conf`	Quality of an Ontology as a Dynamic Optimisation Problem. ICTERI Michael Cochez, Vagan Y. Terziyan