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ENEXA: Efficient Explainable Learning on Knowledge Graphs

Overview

Key Facts

Grant Number:
101070305
Project duration:
10/2022 - 09/2025
Funded by:
EU
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Principal Investigators

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Prof. Dr. Axel-Cyrille Ngonga Ngomo

Data Science / Heinz Nixdorf Institute

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Project Team

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Dr. Caglar Demir

Data Science / Heinz Nixdorf Institute

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Dr. Michael R?der

Data Science / Heinz Nixdorf Institute

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Cooperating Institutions

DATEV eG

Cooperating Institution

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Demokritos National Centre for Scientific Research

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Universiteit van Amsterdam

Cooperating Institution

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European Union Satellite Centre

Cooperating Institution

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webLyzard technology gmbh

Cooperating Institution

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Publications

LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals
C. Demir, M. Wiebesiek, R. Lu, A.-C. Ngonga Ngomo, S. Heindorf, ECML PKDD (2023).
Neural Class Expression Synthesis
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Springer International Publishing, 2023, pp. 209–226.
Neuro-Symbolic Class Expression Learning
C. Demir, A.-C. Ngonga Ngomo, International Joint Conference on Artificial Intelligence (2023).
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