Publications

30 entries « 1 of 1 »

2022

Xu, Chengjin; Su, Fenglong; Xiong, Bo; Lehmann, Jens

Time-aware Entity Alignment using Temporal Relational Attention Inproceedings

In: WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, pp. 788–797, ACM, 2022.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

2021

Nayyeri, Mojtaba; Vahdati, Sahar; Aykul, Can; Lehmann, Jens

5* Knowledge Graph Embeddings with Projective Transformations Inproceedings

In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp. 9064–9072, AAAI Press, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs, Top Publications | Links:

Nayyeri, Mojtaba; Xu, Chengjin; Yaghoobzadeh, Yadollah; Vahdati, Sahar; Alam, Mirza Mohtashim; Yazdi, Hamed Shariat; Lehmann, Jens

Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models Inproceedings

In: Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III, pp. 77–89, Springer, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Nayyeri, Mojtaba; Vahdati, Sahar; Sallinger, Emanuel; Alam, Mirza Mohtashim; Yazdi, Hamed Shariat; Lehmann, Jens

Pattern-Aware and Noise-Resilient Embedding Models Inproceedings

In: Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I, pp. 483–496, Springer, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Xu, Chengjin; Chen, Yung-Yu; Nayyeri, Mojtaba; Lehmann, Jens

Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings Inproceedings

In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021, pp. 2569–2578, Association for Computational Linguistics, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Sadeghi, Afshin; Collarana, Diego; Graux, Damien; Lehmann, Jens

Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities Inproceedings

In: Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II, pp. 548–564, Springer, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Xu, Chengjin; Nayyeri, Mojtaba; Vahdati, Sahar; Lehmann, Jens

Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings Inproceedings

In: International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, pp. 1–8, IEEE, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Xu, Chengjin; Su, Fenglong; Lehmann, Jens

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs Inproceedings

In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 8999–9010, Association for Computational Linguistics, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Nayyeri, Mojtaba; Xu, Chengjin; Hoffmann, Franca; Alam, Mirza Mohtashim; Lehmann, Jens; Vahdati, Sahar

Knowledge Graph Representation Learning using Ordinary Differential Equations Inproceedings

In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 9529–9548, Association for Computational Linguistics, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Rivas, Ariam; Grangel-González, Irlán; Collarana, Diego; Lehmann, Jens; Vidal, Maria-Esther

Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings Journal Article

In: J. Data Intell., 2 (3), pp. 326–347, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Nayyeri, Mojtaba; Cil, Gökce Müge; Vahdati, Sahar; Osborne, Francesco; Kravchenko, Andrey; Angioni, Simone; Salatino, Angelo A.; Recupero, Diego Reforgiato; Motta, Enrico; Lehmann, Jens

Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain Journal Article

In: IEEE Access, 9 , pp. 116002–116014, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Nayyeri, Mojtaba; Cil, Gökce Müge; Vahdati, Sahar; Osborne, Francesco; Rahman, Mahfuzur; Angioni, Simone; Salatino, Angelo A.; Recupero, Diego Reforgiato; Vassilyeva, Nadezhda; Motta, Enrico; Lehmann, Jens

Trans4E: Link prediction on scholarly knowledge graphs Journal Article

In: Neurocomputing, 461 , pp. 530–542, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Ali, Mehdi; Berrendorf, Max; Hoyt, Charles Tapley; Vermue, Laurent; Sharifzadeh, Sahand; Tresp, Volker; Lehmann, Jens

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Journal Article

In: J. Mach. Learn. Res., 22 , pp. 82:1–82:6, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Ali, Mehdi; Berrendorf, Max; Galkin, Mikhail; Thost, Veronika; Ma, Tengfei; Tresp, Volker; Lehmann, Jens

Improving Inductive Link Prediction Using Hyper-relational Facts Inproceedings

In: The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings, pp. 74–92, Springer, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Sadeghi, Afshin; Shahini, Xhulia; Schmitz, Martin; Lehmann, Jens

BenchEmbedd: A FAIR Benchmarking tool for Knowledge Graph Embeddings Inproceedings

In: Joint Proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021, Amsterdam and Online, September 6-9, 2021, CEUR-WS.org, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

2020

Rivas, Ariam; Grangel-González, Irlán; Collarana, Diego; Lehmann, Jens; Vidal, Maria-Esther

Unveiling Relations in the Industry 4.0 Standards Landscape Based on Knowledge Graph Embeddings Inproceedings

In: Database and Expert Systems Applications - 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings, Part II, pp. 179–194, Springer, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Alam, Mirza Mohtashim; Jabeen, Hajira; Ali, Mehdi; Mohiuddin, Karishma; Lehmann, Jens

Affinity Dependent Negative Sampling for Knowledge Graph Embeddings Inproceedings

In: 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-WS.org, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Nayyeri, Mojtaba; Vahdati, Sahar; Zhou, Xiaotian; Yazdi, Hamed Shariat; Lehmann, Jens

Embedding-Based Recommendations on Scholarly Knowledge Graphs Inproceedings

In: The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings, pp. 255–270, Springer, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Nayyeri, Mojtaba; Xu, Chengjin; Vahdati, Sahar; Vassilyeva, Nadezhda; Sallinger, Emanuel; Yazdi, Hamed Shariat; Lehmann, Jens

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them Inproceedings

In: The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part I, pp. 438–455, Springer, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Xu, Chengjin; Nayyeri, Mojtaba; Chen, Yung-Yu; Lehmann, Jens

Knowledge Graph Embeddings in Geometric Algebras Inproceedings

In: Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, pp. 530–544, International Committee on Computational Linguistics, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Nayyeri, Mojtaba; Zhou, Xiaotian; Vahdati, Sahar; Izanloo, Reza; Yazdi, Hamed Shariat; Lehmann, Jens

Let the Margin SlidE for Knowledge Graph Embeddings via a Correntropy Objective Function Inproceedings

In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, pp. 1–9, IEEE, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Sadeghi, Afshin; Graux, Damien; Yazdi, Hamed Shariat; Lehmann, Jens

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs Inproceedings

In: ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), pp. 1427–1434, IOS Press, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Galkin, Mikhail; Trivedi, Priyansh; Maheshwari, Gaurav; Usbeck, Ricardo; Lehmann, Jens

Message Passing for Hyper-Relational Knowledge Graphs Inproceedings

In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, pp. 7346–7359, Association for Computational Linguistics, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Xu, Chenjin; Nayyeri, Mojtaba; Alkhoury, Fouad; Yazdi, Hamed Shariat; Lehmann, Jens

Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding Inproceedings

In: The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part I, pp. 654–671, Springer, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Xu, Chengjin; Nayyeri, Mojtaba; Alkhoury, Fouad; Yazdi, Hamed Shariat; Lehmann, Jens

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation Inproceedings

In: Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, pp. 1583–1593, International Committee on Computational Linguistics, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Nayyeri, Mojtaba; Alam, Mirza Mohtashim; Lehmann, Jens; Vahdati, Sahar

3D Learning and Reasoning in Link Prediction Over Knowledge Graphs Journal Article

In: IEEE Access, 8 , pp. 196459–196471, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

2019

Sadeghi, Afshin; Lehmann, Jens

Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter Inproceedings

In: Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I, pp. 622–630, Springer, 2019.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Ali, Mehdi; Hoyt, Charles Tapley; Domingo-Fernández, Daniel; Lehmann, Jens

Predicting Missing Links Using PyKEEN Inproceedings

In: Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 26-30, 2019, pp. 245–248, CEUR-WS.org, 2019.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Ali, Mehdi; Jabeen, Hajira; Hoyt, Charles Tapley; Lehmann, Jens

The KEEN Universe - An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability Inproceedings

In: The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II, pp. 3–18, Springer, 2019.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Ali, Mehdi; Hoyt, Charles Tapley; Domingo-Fernández, Daniel; Lehmann, Jens; Jabeen, Hajira

BioKEEN: a library for learning and evaluating biological knowledge graph embeddings Journal Article

In: Bioinform., 35 (18), pp. 3538–3540, 2019.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

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Xu, Chengjin; Su, Fenglong; Xiong, Bo; Lehmann, Jens

Time-aware Entity Alignment using Temporal Relational Attention Inproceedings

In: WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, pp. 788–797, ACM, 2022.

BibTeX | filter: Representation Learning in Knowledge Graphs | Links:

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