Hamed Shariat Yazdi

发表

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

Sahar Vahdati, Jens Lehmann, Mojtaba Nayyeri, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Embedding-Based Recommendations on Scholarly Knowledge Graphs

Sahar Vahdati, Xiaotian Zhou, Jens Lehmann, 2020, ESWC.

Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2019 .

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

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2020, COLING.

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

Emanuel Sallinger, Sahar Vahdati, Jens Lehmann, 2020, SEMWEB.

Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2019, SEMWEB.

From Monolingual to Multilingual Ontologies: The Role of Cross-Lingual Ontology Enrichment

Jens Lehmann, Said Fathalla, Hamed Shariat Yazdi, 2019, SEMANTiCS.

On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score pdf

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2019, ArXiv.

LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules pdf

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function pdf

Jens Lehmann, Xiaotian Zhou, Sahar Vahdati, 2019, ArXiv.

Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition pdf

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2019, ArXiv.