Knowledge Graph Representation Learning using Ordinary Differential Equations

no code implementations • EMNLP 2021 • Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati

Many KGEs use the Euclidean geometry which renders them incapable of preserving complex structures and consequently causes wrong inferences by the models.

Graph Representation Learning Knowledge Graph Embeddings +1

Retention Is All You Need

no code implementations • 6 Apr 2023 • Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati

Skilled employees are the most important pillars of an organization.

Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces

1 code implementation • 4 Aug 2022 • Mojtaba Nayyeri, ZiHao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab

In our approach, we build on existing strong representations of single modalities and we use hypercomplex algebra to represent both, (i), single-modality embedding as well as, (ii), the interaction between different modalities and their complementary means of knowledge representation.

Knowledge Graph Embedding Knowledge Graphs +2

LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings

no code implementations • 9 Mar 2022 • Md Rashad Al Hasan Rony, Mirza Mohtashim Alam, Semab Ali, Jens Lehmann, Sahar Vahdati

The learning process of such models can be performed by contrasting positive and negative triples.

Knowledge Graph Embedding Knowledge Graph Embeddings +4