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SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks

  • Published:2020-07 Issue: Volume:12 Page:100516
  • ISSN:2352-7110
  • Container-title:SoftwareX
  • language:en
  • Short-container-title:SoftwareX

Author:

Futia Giuseppe,Vetrò Antonio,De Martin Juan Carlos

Funder

Politecnico di Torino

Publisher

Elsevier BV

Subject

Computer Science Applications,Software

Reference35 articles.

1. Resource description framework (rdf) model and syntax specification;Lassila,1998

2. Fraudar: Bounding graph fraud in the face of camouflage;Hooi,2016

3. Enhancing community interactions with data-driven chatbots–the DBpedia chatbot;Athreya,2018

4. Linked biomedical dataspace: lessons learned integrating data for drug discovery;Hasnain,2014

5. Assigning semantic labels to data sources;Ramnandan,2015

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3. THE FEASIBILITY OF GRAPH NEURAL NETWORKS AS INTELLIGENT ASSISTANTS IN BUILDING DYNAMIC COGNITIVE MAPS;Modern Technologies and Scientific and Technological Progress;2024-04-22

4. Automatic semantic modeling of structured data sources with cross-modal retrieval;Pattern Recognition Letters;2024-01

5. Generative Semantic Modeling for Structured Data Source with Large Language Model;2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2023-12-17
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