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ORCIDMichael Cochez
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- affiliation: Vrije Universiteit Amsterdam, The Netherlands
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2020 – today
- 2024
[c54]Ruijie Wang
, Luca Rossetto, Michael Cochez, Abraham Bernstein:
QAGCN: Answering Multi-relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs. ESWC (1) 2024: 41-58- [c53]Michael Cochez, Evgeny Kharlamov, Radu Prodan:
First International Workshop on Scaling Knowledge Graphs for Industry: Summary. SEMANTiCS (Posters, Demos, Workshops & Tutorials) 2024 - [c52]Joze M. Rozanec, Beno Sircelj, Michael Cochez, Gregor Leban:
Back to the Future: predicting causal relationships influencing oil prices. Tiny Papers @ ICLR 2024 - [c51]Mehwish Alam, Davide Buscaldi, Michael Cochez, Genet Asefa Gesese, Francesco Osborne, Diego Reforgiato Recupero:
Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). KDD 2024: 6704-6705 - [c50]Dimitrios Alivanistos, Seth van der Bijl, Michael Cochez, Frank van Harmelen:
The Effect of Knowledge Graph Schema on Classifying Future Research Suggestions. NSLP 2024: 149-170 - [e10]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:
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. CEUR Workshop Proceedings 3747, CEUR-WS.org 2024 [contents] - [i37]Daniel Daza, Cuong Xuan Chu, Trung-Kien Tran, Daria Stepanova, Michael Cochez, Paul Groth:
Explaining Graph Neural Networks for Node Similarity on Graphs. CoRR abs/2407.07639 (2024) - [i36]Taewoon Kim, Vincent François-Lavet, Michael Cochez:
Leveraging Knowledge Graph-Based Human-Like Memory Systems to Solve Partially Observable Markov Decision Processes. CoRR abs/2408.05861 (2024) - 2023
- [j15]Md. Rezaul Karim, Tanhim Islam, Md Shajalal, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker:
Explainable AI for Bioinformatics: Methods, Tools and Applications. Briefings Bioinform. 24(5) (2023) - [j14]Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth:
BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs. J. Biomed. Semant. 14(1): 20 (2023) - [j13]Alexandre Renaux, Chloé Terwagne, Michael Cochez, Ilaria Tiddi, Ann Nowé, Tom Lenaerts:
A knowledge graph approach to predict and interpret disease-causing gene interactions. BMC Bioinform. 24(1): 324 (2023) - [j12]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:
Knowledge Graph Embeddings: Open Challenges and Opportunities. TGDK 1(1): 4:1-4:32 (2023) - [j11]Ansgar Scherp, David Richerby, Till Blume, Michael Cochez, Jannik Rau:
Structural Summarization of Semantic Graphs Using Quotients. TGDK 1(1): 12:1-12:25 (2023) - [c49]Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen:
A Machine with Short-Term, Episodic, and Semantic Memory Systems. AAAI 2023: 48-56 - [c48]Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez:
Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. CIKM 2023: 5228-5231 - [c47]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:
The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. COMPSAC 2023: 1459-1464 - [c46]Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein:
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering. NeurIPS 2023 - [c45]Andrei Mihai Ducu, Michael Cochez:
Qualifier Recommendation for Wikidata. Wikidata@ISWC 2023 - [c44]Joze M. Rozanec, Michael Cochez, Ruud van Bakel, Brian Elvesæter, Dumitru Roman:
Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning. ICPE (Companion) 2023: 251-252 - [p1]Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren:
Approximate Answering of Graph Queries. Compendium of Neurosymbolic Artificial Intelligence 2023: 373-386 - [e9]Mehwish Alam, Michael Cochez:
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. CEUR Workshop Proceedings 3559, CEUR-WS.org 2023 [contents] - [e8]Mehwish Alam, Michael Cochez:
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. CEUR Workshop Proceedings 3342, CEUR-WS.org 2023 [contents] - [i35]Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec:
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. CoRR abs/2303.14617 (2023) - [i34]Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab:
Geometric Relational Embeddings: A Survey. CoRR abs/2304.11949 (2023) - [i33]Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth:
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs. CoRR abs/2306.03606 (2023) - [i32]Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren:
Approximate Answering of Graph Queries. CoRR abs/2308.06585 (2023) - [i31]Azhar Shaikh, Michael Cochez, Denis Diachkov, Michiel de Rijcke, Sahar Yousefi:
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency. CoRR abs/2311.05778 (2023) - [i30]Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein:
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs. CoRR abs/2312.02317 (2023) - 2022
- [j10]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:
Knowledge Graphs. ACM Comput. Surv. 54(4): 71:1-71:37 (2022) - [j9]Florian Barthélemy, Michael Cochez, Iraklis Dimitriadis, Naila Karim, Nikolaos Loutas, Ioannis Magnisalis, Lina Molinas Comet, Vassilios Peristeras, Brecht Wyns:
Towards a standard-based open data ecosystem: analysis of DCAT-AP use at national and European level. Electron. Gov. an Int. J. 18(2): 137-180 (2022) - [j8]Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack:
Editorial of the Special Issue on Deep Learning and Knowledge Graphs. Semantic Web 13(3): 293-297 (2022) - [j7]Md. Rezaul Karim, Michael Cochez, Achille Zappa, Ratnesh Sahay, Dietrich Rebholz-Schuhmann, Oya Beyan, Stefan Decker:
Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 369-382 (2022) - [c43]Simone Colombo, Dimitrios Alivanistos, Michael Cochez:
Potential Energy to Improve Link Prediction With Relational Graph Neural Networks. AAAI Spring Symposium: MAKE 2022 - [c42]Daniel Daza, Michael Cochez, Paul Groth:
SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning. SPNLP@ACL 2022: 32-39 - [c41]Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin:
Query Embedding on Hyper-Relational Knowledge Graphs. ICLR 2022 - [c40]Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez:
Complex Query Answering with Neural Link Predictors (Extended Abstract). IJCAI 2022: 5309-5313 - [c39]Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam:
Prompting as Probing: Using Language Models for Knowledge Base Construction. LM-KBC@ISWC 2022: 11-34 - [c38]Xu Wang, Frank van Harmelen, Michael Cochez, Zhisheng Huang:
Scientific Item Recommendation Using a Citation Network. KSEM (2) 2022: 469-484 - [c37]Bo Xiong, Michael Cochez, Mojtaba Nayyeri, Steffen Staab:
Hyperbolic Embedding Inference for Structured Multi-Label Prediction. NeurIPS 2022 - [c36]Alessandro Generale, Till Blume, Michael Cochez:
Scaling R-GCN Training with Graph Summarization. WWW (Companion Volume) 2022: 1073-1082 - [d2]Sumon Kanti Dey, Michael Cochez, Md. Rezaul Karim:
Bengali Hate Speech Detection Dataset. UCI Machine Learning Repository, 2022
- [i29]Alessandro Generale, Till Blume, Michael Cochez:
Scaling R-GCN Training with Graph Summarization. CoRR abs/2203.02622 (2022) - [i28]Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen:
A Machine With Human-Like Memory Systems. CoRR abs/2204.01611 (2022) - [i27]Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein:
QAGCN: A Graph Convolutional Network-based Multi-Relation Question Answering System. CoRR abs/2206.01818 (2022) - [i26]Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam:
Prompting as Probing: Using Language Models for Knowledge Base Construction. CoRR abs/2208.11057 (2022) - [i25]Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen:
A Machine with Short-Term, Episodic, and Semantic Memory Systems. CoRR abs/2212.02098 (2022) - [i24]Md. Rezaul Karim, Tanhim Islam, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker:
Explainable AI for Bioinformatics: Methods, Tools, and Applications. CoRR abs/2212.13261 (2022) - 2021
- [b1]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:
Knowledge Graphs. Synthesis Lectures on Data, Semantics, and Knowledge, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00790-3, pp. 1-257 - [j6]Md. Rezaul Karim, Jiao Jiao, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker:
DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging. IEEE Access 9: 39757-39780 (2021) - [j5]Md. Rezaul Karim, Oya Beyan, Achille Zappa, Ivan G. Costa, Dietrich Rebholz-Schuhmann, Michael Cochez, Stefan Decker:
Deep learning-based clustering approaches for bioinformatics. Briefings Bioinform. 22(1): 393-415 (2021) - [c35]Arnab Chakrabarti, Abhijeet Das, Michael Cochez, Christoph Quix:
Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data. ADBIS 2021: 183-197 - [c34]Johannes Lipp, Lars Christoph Gleim, Michael Cochez, Iraklis Dimitriadis, Hussain Ali, Daniel Hoppe Alvarez, Christoph Lange, Stefan Decker:
Towards Easy Vocabulary Drafts with Neologism 2.0. ESWC (Satellite Events) 2021: 21-26 - [c33]Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez:
Complex Query Answering with Neural Link Predictors. ICLR 2021 - [c32]Daniel Daza, Michael Cochez, Paul Groth:
Inductive Entity Representations from Text via Link Prediction. WWW 2021: 798-808 - [e7]Mehwish Alam, Davide Buscaldi, Michael Cochez, Diego Reforgiato Recupero, Harald Sack:
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. CEUR Workshop Proceedings 3034, CEUR-WS.org 2021 [contents] - [e6]Michael Cochez, Madalina Croitoru, Pierre Marquis, Sebastian Rudolph:
Graph Structures for Knowledge Representation and Reasoning - 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12640, Springer 2021, ISBN 978-3-030-72307-1 [contents] - [d1]Daniel Daza, Michael Cochez, Paul Groth:
Inductive WN18RR and FB15k-237. Zenodo, 2021 - [i23]Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez:
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. CoRR abs/2102.11389 (2021) - [i22]Leandro Eichenberger, Michael Cochez, Benjamin Heitmann, Stefan Decker:
Secure Evaluation of Knowledge Graph Merging Gain. CoRR abs/2103.00082 (2021) - [i21]Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin:
Query Embedding on Hyper-relational Knowledge Graphs. CoRR abs/2106.08166 (2021) - [i20]Christopher Wewer, Florian Lemmerich, Michael Cochez:
Updating Embeddings for Dynamic Knowledge Graphs. CoRR abs/2109.10896 (2021) - 2020
- [j4]Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker:
Structured query construction via knowledge graph embedding. Knowl. Inf. Syst. 62(5): 1819-1846 (2020) - [c31]Md. Rezaul Karim, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker:
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images. BIBM 2020: 1034-1037 - [c30]Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae, Michael Cochez:
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. DSAA 2020: 390-399 - [c29]Lars Christoph Gleim, Rafael Schimassek, Dominik Hüser, Maximilian Peters, Christoph Krämer, Michael Cochez, Stefan Decker:
SchemaTree: Maximum-Likelihood Property Recommendation for Wikidata. ESWC 2020: 179-195 - [c28]Maria Angela Pellegrino, Abdulrahman Altabba, Martina Garofalo, Petar Ristoski, Michael Cochez:
GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques. ESWC 2020: 565-582 - [c27]Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez:
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. GKR 2020: 107-124 - [e5]Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack:
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 Workshop Proceedings 2635, CEUR-WS.org 2020 [contents] - [e4]Andreas Harth, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo, Heiko Paulheim, Anisa Rula, Anna Lisa Gentile, Peter Haase, Michael Cochez:
The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings. Lecture Notes in Computer Science 12123, Springer 2020, ISBN 978-3-030-49460-5 [contents] - [e3]Andreas Harth, Valentina Presutti, Raphaël Troncy, Maribel Acosta, Axel Polleres, Javier D. Fernández, Josiane Xavier Parreira, Olaf Hartig, Katja Hose, Michael Cochez:
The Semantic Web: ESWC 2020 Satellite Events - ESWC 2020 Satellite Events, Heraklion, Crete, Greece, May 31 - June 4, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12124, Springer 2020, ISBN 978-3-030-62326-5 [contents] - [i19]Daniel Daza, Michael Cochez:
Message Passing for Query Answering over Knowledge Graphs. CoRR abs/2002.02406 (2020) - [i18]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:
Knowledge Graphs. CoRR abs/2003.02320 (2020) - [i17]Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann, Stefan Decker, Michael Cochez, Oya Beyan:
DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images. CoRR abs/2004.04582 (2020) - [i16]Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae, Michael Cochez:
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. CoRR abs/2004.07807 (2020) - [i15]Daniel Daza, Michael Cochez, Paul Groth:
Inductive Entity Representations from Text via Link Prediction. CoRR abs/2010.03496 (2020) - [i14]Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez:
Complex Query Answering with Neural Link Predictors. CoRR abs/2011.03459 (2020)
2010 – 2019
- 2019
- [j3]Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker:
Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces. Int. J. Artif. Intell. Tools 28(6): 1960003:1-1960003:34 (2019) - [c26]Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mamtaz Uddin, Oya Beyan, Stefan Decker:
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. BCB 2019: 113-123 - [c25]Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange:
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. BIBE 2019: 415-422 - [c24]Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez:
Message Passing for Complex Question Answering over Knowledge Graphs. CIKM 2019: 1431-1440 - [c23]Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker:
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. DASFAA (1) 2019: 659-675 - [c22]Maria Angela Pellegrino, Michael Cochez, Martina Garofalo, Petar Ristoski:
A Configurable Evaluation Framework for Node Embedding Techniques. ESWC (Satellite Events) 2019: 156-160 - [e2]Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack:
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. CEUR Workshop Proceedings 2377, CEUR-WS.org 2019 [contents] - [i13]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:
Linked Open Data Validity - A Technical Report from ISWS 2018. CoRR abs/1903.12554 (2019) - [i12]Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mamtaz Uddin, Oya Beyan, Stefan Decker:
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. CoRR abs/1908.01288 (2019) - [i11]Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker:
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces. CoRR abs/1908.03629 (2019) - [i10]Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez:
Message Passing for Complex Question Answering over Knowledge Graphs. CoRR abs/1908.06917 (2019) - [i9]Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker:
Structured Query Construction via Knowledge Graph Embedding. CoRR abs/1909.02930 (2019) - [i8]Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange:
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. CoRR abs/1909.04169 (2019) - [i7]Michael Ellers, Michael Cochez, Tobias Schumacher, Markus Strohmaier, Florian Lemmerich:
Privacy Attacks on Network Embeddings. CoRR abs/1912.10979 (2019) - 2018
- [j2]Md. Rezaul Karim, Michael Cochez, Oya Deniz Beyan, Chowdhury Farhan Ahmed, Stefan Decker:
Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach. Inf. Sci. 432: 278-300 (2018) - [c21]Michael Cochez, Martina Garofalo, Jérôme Lenßen, Maria Angela Pellegrino:
A First Experiment on Including Text Literals in KGloVe. Semdeep/NLIWoD@ISWC 2018: 103-106 - [c20]Svitlana Vakulenko, Maarten de Rijke, Michael Cochez, Vadim Savenkov, Axel Polleres:
Measuring Semantic Coherence of a Conversation. ISWC (1) 2018: 634-651 - [c19]Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker:
Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas. WIMS 2018: 22:1-22:12 - [c18]Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger:
BigNet 2018 Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 943-944 - [e1]Michael Cochez, Thierry Declerck, Gerard de Melo, Luis Espinosa Anke, Besnik Fetahu, Dagmar Gromann, Mayank Kejriwal, Maria Koutraki, Freddy Lécué, Enrico Palumbo, Harald Sack:
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. CEUR Workshop Proceedings 2106, CEUR-WS.org 2018 [contents] - [i6]Michael Cochez:
On the computation of Shannon Entropy from Counting Bloom Filters. CoRR abs/1802.06609 (2018) - [i5]Md. Rezaul Karim, Michael Cochez, Oya Beyan, Achille Zappa, Ratnesh Sahay, Stefan Decker, Dietrich Rebholz-Schuhmann:
Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction. CoRR abs/1805.12218 (2018) - [i4]Svitlana Vakulenko, Maarten de Rijke, Michael Cochez, Vadim Savenkov, Axel Polleres:
Measuring Semantic Coherence of a Conversation. CoRR abs/1806.06411 (2018) - [i3]Michael Cochez, Martina Garofalo, Jérôme Lenßen, Maria Angela Pellegrino:
A First Experiment on Including Text Literals in KGloVe. CoRR abs/1807.11761 (2018) - [i2]Martina Garofalo, Maria Angela Pellegrino, Abdulrahman Altabba, Michael Cochez:
Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases. CoRR abs/1808.00434 (2018) - 2017
- [j1]Michael Cochez, Vagan Y. Terziyan, Vadim Ermolayev:
Large Scale Knowledge Matching with Balanced Efficiency-Effectiveness Using LSH Forest. Trans. Comput. Collect. Intell. 26: 46-66 (2017) - [c17]Michael Cochez, Dominik Hüser, Stefan Decker:
The Future of the Semantic Web: Prototypes on a Global Distributed Filesystem. ICDCS 2017: 1997-2006 - [c16]Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, Heiko Paulheim:
Global RDF Vector Space Embeddings. ISWC (1) 2017: 190-207 - [c15]Md. Rezaul Karim, Matthias Heinrichs, Lars Christoph Gleim, Michael Cochez, Emily Porter, Alessandra La Gioia, Saqib Salahuddin, Stefan Decker, Martin O'Halloran, Oya Beyan:
Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues. SWAT4LS 2017 - [c14]Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, Heiko Paulheim:
Biased graph walks for RDF graph embeddings. WIMS 2017: 21:1-21:12 - 2016
- [c13]Vagan Y. Terziyan, Mariia Golovianko, Michael Cochez:
TB-Structure: Collective Intelligence for Exploratory Keyword Search. International KEYSTONE Conference 2016: 171-178 - [c12]Bushra Zafar, Michael Cochez, Usman Qamar:
Using Distributional Semantics for Automatic Taxonomy Induction. FIT 2016: 348-353 - [c11]Michael Cochez, Stefan Decker, Eric Prud'hommeaux:
Knowledge Representation on the Web Revisited: The Case for Prototypes. ISWC (1) 2016: 151-166 - [i1]Michael Cochez, Stefan Decker, Eric Prud'hommeaux:
Knowledge Representation on the Web revisited: Tools for Prototype Based Ontologies. CoRR abs/1607.04809 (2016) - 2015
- [c10]Michael Cochez, Vagan Y. Terziyan, Vadim Ermolayev:
Balanced Large Scale Knowledge Matching Using LSH Forest. International KEYSTONE Conference 2015: 36-50 - [c9]Michael Cochez, Hao Mou:
Twister Tries: Approximate Hierarchical Agglomerative Clustering for Average Distance in Linear Time. SIGMOD Conference 2015: 505-517 - [c8]Michael Cochez, Ferrante Neri<