Search Results - "Yazdi, Hamed Shariat"

LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules by Nayyeri, Mojtaba, Xu, Chengjin, Alam, Mirza Mohtashim, Lehmann, Jens, Yazdi, Hamed Shariat

“…Knowledge graph embedding models have gained significant attention in AI research. The aim of knowledge graph embedding is to embed the graphs into a vector…”
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A framework for capturing, statistically modeling and analyzing the evolution of software models by Shariat Yazdi, Hamed, Angelis, Lefteris, Kehrer, Timo, Kelter, Udo

“…•New framework for capturing, statistically modeling and simulating evolution of models•Evolution formulated at 2 abstraction levels: low and high level…”
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Synthesizing realistic test models by Shariat Yazdi, Hamed, Pietsch, Pit, Kehrer, Timo, Kelter, Udo

“…Tools and methods in the context of Model Driven Engineering (MDE) have to be evaluated and tested using appropriate models as test cases. Unfortunately,…”
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A procedure with stepsize control for solving n one-dimensional IVPs by Salkuyeh, Davod Khojasteh, Toutounian, Faezeh, Yazdi, Hamed Shariat

“…Finite precision computations may affect the stability of algorithms and the accuracy of computed solutions. In this paper we first obtain a relation for…”
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Generating realistic test models for model processing tools by Pietsch, Pit, Yazdi, Hamed Shariat, Kelter, Udo

“…Test models are needed to evaluate and benchmark algorithms and tools in model driven development. Most model generators randomly apply graph operations on…”
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LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules by Nayyeri, Mojtaba, Xu, Chengjin, Lehmann, Jens, Yazdi, Hamed Shariat

“…Knowledge graph embedding models have gained significant attention in AI research. Recent works have shown that the inclusion of background knowledge, such as…”
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Let the Margin SlidE± for Knowledge Graph Embeddings via a Correntropy Objective Function by Nayyeri, Mojtaba, Zhou, Xiaotian, Vahdati, Sahar, Izanloo, Reza, Yazdi, Hamed Shariat, Lehmann, Jens

“…Embedding models based on translation and rotation have gained significant attention in link prediction tasks for knowledge graphs. Most of the earlier works…”
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MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs by Sadeghi, Afshin, Graux, Damien, Yazdi, Hamed Shariat, Lehmann, Jens

“…24th European Conference on Artificial Intelligence (ECAI), 2020 Over the past decade, knowledge graphs became popular for capturing structured domain…”
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Soft Marginal TransE for Scholarly Knowledge Graph Completion by Nayyeri, Mojtaba, Vahdati, Sahar, Lehmann, Jens, Yazdi, Hamed Shariat

“…Knowledge graphs (KGs), i.e. representation of information as a semantic graph, provide a significant test bed for many tasks including question answering,…”
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TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation by Xu, Chengjin, Nayyeri, Mojtaba, Alkhoury, Fouad, Yazdi, Hamed Shariat, Lehmann, Jens

“…In the last few years, there has been a surge of interest in learning representations of entitiesand relations in knowledge graph (KG). However, the recent…”
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Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition by Xu, Chengjin, Nayyeri, Mojtaba, Alkhoury, Fouad, Yazdi, Hamed Shariat, Lehmann, Jens

“…Knowledge Graph (KG) embedding has attracted more attention in recent years. Most KG embedding models learn from time-unaware triples. However, the inclusion…”
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Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding by Nayyeri, Mojtaba, Xu, Chengjin, Yaghoobzadeh, Yadollah, Yazdi, Hamed Shariat, Lehmann, Jens

“…Knowledge graphs (KGs) represent world's facts in structured forms. KG completion exploits the existing facts in a KG to discover new ones. Translation-based…”
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Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function by Nayyeri, Mojtaba, Zhou, Xiaotian, Vahdati, Sahar, Yazdi, Hamed Shariat, Lehmann, Jens

“…Translation-based embedding models have gained significant attention in link prediction tasks for knowledge graphs. TransE is the primary model among…”
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