DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs. - Carsten Felix Draschner; Claus Stadler; Farshad Bakhshandegan Moghaddam; Jens Lehmann 001; Hajira Jabeen (CIKM, 2021)

Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor. - Farshad Bakhshandegan Moghaddam; Carsten Draschner; Jens Lehmann 001; Hajira Jabeen (SEMANTiCS, 2021)

Semantic Analytics in the Palm of your Browser. - Carsten Felix Draschner; Farshad Bakhshandegan Moghaddam; Jens Lehmann 001; Hajira Jabeen (LAMBDA-PhD, 2021)

Semantic Web Analysis with Flavor of Micro-Services. - Farshad Bakhshandegan Moghaddam; Carsten Felix Draschner; Jens Lehmann 001; Hajira Jabeen (LAMBDA-PhD, 2021)

DistSim - Scalable Distributed in-Memory Semantic Similarity Estimation for RDF Knowledge Graphs. - Carsten Felix Draschner; Jens Lehmann 001; Hajira Jabeen (ICSC, 2021)

Ethical and Sustainability Considerations for Knowledge Graph based Machine Learning. - Carsten Felix Draschner; Hajira Jabeen; Jens Lehmann 001 (AIKE, 2022)

Scalable Distributed Machine Learning for Knowledge Graphs. - Carsten Felix Draschner (2023)

SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs. - Carsten Felix Draschner; Hajira Jabeen; Jens Lehmann 001 (Int. J. Semantic Comput., 2023)