Hamed Shariat Yazdi

University of Bonn — Germany

Computer Science · Physical Sciences

9h-index361citations32works0.02yr avg
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Research Topics

Advanced Graph Neural Networks(18), Topic Modeling(15), Software Engineering Research(5), Bayesian Modeling and Causal Inference(5), Data Quality and Management(5)

Publications32 total

LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules
IEEE Transactions on Pattern Analysis and Machine Intelligence·2021· 8 citedOpen Access
Pattern-Aware and Noise-Resilient Embedding Models
Lecture notes in computer science·2021· 6 cited
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models
Lecture notes in computer science·2021· 6 cited
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
arXiv (Cornell University)·2020· 10 citedOpen Access
Let the Margin SlidE<sup>±</sup>for Knowledge Graph Embeddings via a Correntropy Objective Function
2020· 4 cited
Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding
Lecture notes in computer science·2020· 12 citedOpen Access
Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them
Lecture notes in computer science·2020· 7 cited
The Effect of Rule Injectionin a Leakage Free Dataset.
2020
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
2020· 123 citedOpen Access
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
Frontiers in artificial intelligence and applications·2020· 5 citedOpen Access
Embedding-Based Recommendations on Scholarly Knowledge Graphs
Lecture notes in computer science·2020· 20 citedOpen Access
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition
arXiv (Cornell University)·2019· 37 citedOpen Access
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding
arXiv (Cornell University)·2019· 8 citedOpen Access
Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding
arXiv (Cornell University)·2019· 2 citedOpen Access
On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score.
arXiv (Cornell University)·2019· 2 citedOpen Access
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical\n Rules
arXiv (Cornell University)·2019· 2 citedOpen Access
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function
arXiv (Cornell University)·2019· 4 citedOpen Access
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
arXiv (Cornell University)·2019· 8 citedOpen Access
Soft Marginal TransE for Scholarly Knowledge Graph Completion
arXiv (Cornell University)·2019· 9 citedOpen Access
OECM: A Cross-Lingual Approach for Ontology Enrichment
Lecture notes in computer science·2019· 4 cited
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Frequent Co-authors

Jens Lehmann(20), Mojtaba Nayyeri(17), Chengjin Xu(12), Udo Kelter(9), Sahar Vahdati(7), Timo Kehrer(7), Pit Pietsch(6), Fouad Alkhoury(4), Yadollah Yaghoobzadeh(4), Xiaotian Zhou(3), Afshin Sadeghi(3), Mirza Mohtashim Alam(3), Lefteris Angelis(2), Damien Graux(2), Emanuel Sallinger(2), Shimaa Ibrahim(2), Said Fathalla(2), Hajira Jabeen(2), Mahnaz Mirbolouki(1), Nadezhda Vassilyeva(1)