NIMI PUBLICATIONS

@inproceedings{DBLP:conf/edbt/VladVNBS22b,

title = {Towards Hybrid Logic-based and Embedding-based Reasoning on Financial 

 Knowledge Graphs},

author = {Adriano Vlad and Sahar Vahdati and Mojtaba Nayyeri and Luigi Bellomarini and Emanuel Sallinger},

editor = {Maya Ramanath and Themis Palpanas},

url = {http://ceur-ws.org/Vol-3135/EcoFinKG_2022_paper8.pdf},

year  = {2022},

date = {2022-01-01},

booktitle = {Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 

 Edinburgh, UK, March 29, 2022},

volume = {3135},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/aaai/NayyeriVA021,

title = {5* Knowledge Graph Embeddings with Projective Transformations},

author = {Mojtaba Nayyeri and Sahar Vahdati and Can Aykul and Jens Lehmann},

url = {https://ojs.aaai.org/index.php/AAAI/article/view/17095

https://infai.org/wp-content/uploads/2020/11/5-star-Knowledge-Graph-Embeddings-with-Projective-Transformations.pdf},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {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},

pages = {9064--9072},

publisher = {AAAI Press},

abstract = {Performing link prediction using knowledge graph embedding models has become a popular approach for knowledge graph completion. Such models employ a transformation function that maps nodes via edges into a vector space in order to measure the likelihood of the links. While mapping the individual nodes, the structure of subgraphs is also transformed. Most of the embedding models designed in Euclidean geometry usually support a single transformation type - often translation or rotation, which is suitable for learning on graphs with small differences in neighboring subgraphs. However, multi-relational knowledge graphs often include multiple sub-graph structures in a neighborhood (e.g. combinations of path and loop structures), which current embedding models do not capture well. To tackle this problem, we propose a novel KGE model (5*E) in projective geometry, which supports multiple simultaneous transformations - specifically inversion, reflection, translation, rotation, and homothety. The model has several favorable theoretical properties and subsumes the existing approaches. It outperforms them on the most widely used link prediction benchmarks.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ecir/NayyeriVSAYL21,

title = {Pattern-Aware and Noise-Resilient Embedding Models},

author = {Mojtaba Nayyeri and Sahar Vahdati and Emanuel Sallinger and Mirza Mohtashim Alam and Hamed Shariat Yazdi and Jens Lehmann},

editor = {Djoerd Hiemstra and Marie-Francine Moens and Josiane Mothe and Raffaele Perego and Martin Potthast and Fabrizio Sebastiani},

url = {https://doi.org/10.1007/978-3-030-72113-8_32},

doi = {10.1007/978-3-030-72113-8_32},

year  = {2021},

date = {2021-01-01},

booktitle = {Advances in Information Retrieval - 43rd European Conference on IR 

 Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, 

 Part I},

volume = {12656},

pages = {483--496},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/emnlp/NayyeriXHA0V21,

title = {Knowledge Graph Representation Learning using Ordinary Differential 

 Equations},

author = {Mojtaba Nayyeri and Chengjin Xu and Franca Hoffmann and Mirza Mohtashim Alam and Jens Lehmann and Sahar Vahdati},

editor = {Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih},

url = {https://aclanthology.org/2021.emnlp-main.750},

year  = {2021},

date = {2021-01-01},

booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural 

 Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican 

 Republic, 7-11 November, 2021},

pages = {9529--9548},

publisher = {Association for Computational Linguistics},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ijcnn/XuNVL21,

title = {Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph 

 Embeddings},

author = {Chengjin Xu and Mojtaba Nayyeri and Sahar Vahdati and Jens Lehmann},

url = {https://doi.org/10.1109/IJCNN52387.2021.9533372},

doi = {10.1109/IJCNN52387.2021.9533372},

year  = {2021},

date = {2021-01-01},

booktitle = {International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, 

 China, July 18-22, 2021},

pages = {1--8},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/pakdd/NayyeriXYVAY021,

title = {Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed 

 Limitations of Embedding Models},

author = {Mojtaba Nayyeri and Chengjin Xu and Yadollah Yaghoobzadeh and Sahar Vahdati and Mirza Mohtashim Alam and Hamed Shariat Yazdi and Jens Lehmann},

editor = {Kamal Karlapalem and Hong Cheng and Naren Ramakrishnan and R. K. Agrawal and P. Krishna Reddy and Jaideep Srivastava and Tanmoy Chakraborty},

url = {https://doi.org/10.1007/978-3-030-75768-7_7},

doi = {10.1007/978-3-030-75768-7_7},

year  = {2021},

date = {2021-01-01},

booktitle = {Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia 

 Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, 

 Part III},

volume = {12714},

pages = {77--89},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ercimdl/SayFV0A20,

title = {Ontology Design for Pharmaceutical Research Outcomes},

author = {Zeynep Say and Said Fathalla and Sahar Vahdati and Jens Lehmann and S\"{o}ren Auer},

editor = {Mark M. Hall and Tanja Mercun and Thomas Risse and Fabien Duchateau},

url = {https://doi.org/10.1007/978-3-030-54956-5_9},

doi = {10.1007/978-3-030-54956-5_9},

year  = {2020},

date = {2020-01-01},

booktitle = {Digital Libraries for Open Knowledge - 24th International Conference 

 on Theory and Practice of Digital Libraries, TPDL 2020, Lyon, France, 

 August 25-27, 2020, Proceedings},

volume = {12246},

pages = {119--132},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/esws/NayyeriVZY020,

title = {Embedding-Based Recommendations on Scholarly Knowledge Graphs},

author = {Mojtaba Nayyeri and Sahar Vahdati and Xiaotian Zhou and Hamed Shariat Yazdi and Jens Lehmann},

editor = {Andreas Harth and Sabrina Kirrane and Axel-Cyrille Ngonga Ngomo and Heiko Paulheim and Anisa Rula and Anna Lisa Gentile and Peter Haase and Michael Cochez},

url = {https://doi.org/10.1007/978-3-030-49461-2_15},

doi = {10.1007/978-3-030-49461-2_15},

year  = {2020},

date = {2020-01-01},

booktitle = {The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, 

 Crete, Greece, May 31-June 4, 2020, Proceedings},

volume = {12123},

pages = {255--270},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ic3k/SayFV0A20,

title = {Semantic Representation of Physics Research Data},

author = {Aysegul Say and Said Fathalla and Sahar Vahdati and Jens Lehmann and S\"{o}ren Auer},

editor = {David Aveiro and Jan L. G. Dietz and Joaquim Filipe},

url = {https://doi.org/10.5220/0010111000640075},

doi = {10.5220/0010111000640075},

year  = {2020},

date = {2020-01-01},

booktitle = {Proceedings of the 12th International Joint Conference on Knowledge 

 Discovery, Knowledge Engineering and Knowledge Management, IC3K 

 2020, Volume 2: KEOD, Budapest, Hungary, November 2-4, 2020},

pages = {64--75},

publisher = {SCITEPRESS},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ijcnn/NayyeriZVIY020,

title = {Let the Margin SlidE(^mbox(pm)) for Knowledge Graph 

 Embeddings via a Correntropy Objective Function},

author = {Mojtaba Nayyeri and Xiaotian Zhou and Sahar Vahdati and Reza Izanloo and Hamed Shariat Yazdi and Jens Lehmann},

url = {https://doi.org/10.1109/IJCNN48605.2020.9207513},

doi = {10.1109/IJCNN48605.2020.9207513},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 International Joint Conference on Neural Networks, IJCNN 2020, 

 Glasgow, United Kingdom, July 19-24, 2020},

pages = {1--9},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}