Steiner tree methods for optimal sub-network identification: an empirical study. - Afshin Sadeghi; Holger Fröhlich (BMC Bioinform., 2013)

Integration of Scholarly Communication Metadata Using Knowledge Graphs. - Afshin Sadeghi; Christoph Lange 002; Maria-Esther Vidal; Sören Auer (TPDL, 2017)

Decentralized creation of academic documents using a Network Attached Storage (NAS) server. - Johannes Wilm; Afshin Sadeghi; Christoph Lange 002; Philipp Mayr 001 (CoRR, 2017)

Opening Scholarly Communication in Social Sciences by Connecting Collaborative Authoring to Peer Review. - Afshin Sadeghi; Johannes Wilm; Philipp Mayr 001; Christoph Lange 002 (Inf. Wiss. Prax., 2017)

A Survey of User Expectations and Tool Limitations in Collaborative Scientific Authoring and Reviewing. - Afshin Sadeghi; Mahdi Jaberzadeh Ansari; Johannes Wilm; Christoph Lange 002 (CoRR, 2018)

Automatically Annotating Articles Towards Opening and Reusing Transparent Peer Reviews. - Afshin Sadeghi; Sarven Capadisli; Johannes Wilm; Christoph Lange 002; Philipp Mayr 001 (CoRR, 2018)

Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter. - Afshin Sadeghi; Jens Lehmann 001 (PKDD/ECML Workshops (1), 2019)

MDE: Multi Distance Embeddings for Link Prediction in Knowledge Graphs. - Afshin Sadeghi; Damien Graux; Jens Lehmann 001 (CoRR, 2019)

Opening and Reusing Transparent Peer Reviews with Automatic Article Annotation. - Afshin Sadeghi; Sarven Capadisli; Johannes Wilm; Christoph Lange 002; Philipp Mayr 001 (Publ., 2019)

The Effect of Rule Injectionin a Leakage Free Dataset. - Mirza Mohtashim Alam; Mojtaba Nayyeri; Chengjin Xu; Md. Rashad Al Hasan Rony; Hamed Shariat Yazdi; Afshin Sadeghi; Jens Lehmann 001 (KR4L@ECAI, 2020)

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs. - Afshin Sadeghi; Damien Graux; Hamed Shariat Yazdi; Jens Lehmann 001 (ECAI, 2020)

Meta-hyperband: Hyperparameter Optimization with Meta-learning and Coarse-to-Fine. - Samin Payrosangari; Afshin Sadeghi; Damien Graux; Jens Lehmann 001 (IDEAL (2), 2020)

BenchEmbedd: A FAIR Benchmarking tool forKnowledge Graph Embeddings. - Afshin Sadeghi; Xhulia Shahini; Martin Schmitz 003; Jens Lehmann 001 (SEMANTiCS (Posters & Demos), 2021)

Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task. - Afshin Sadeghi; Hirra Malik; Diego Collarana; Jens Lehmann 001 (NeurIPS Datasets and Benchmarks, 2021)

Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities. - Afshin Sadeghi; Diego Collarana; Damien Graux; Jens Lehmann 001 (ECML/PKDD (2), 2021)

Multiple Objective Learning for Effective Knowledge Graph Embedding - Afshin Sadeghi (2023)