Evolving Meaning for Supervised Learning in Complex Biomedical Domains Using Knowledge Graphs. - Rita Torres Sousa (ESWC (Satellite Events), 2020)

A Collection of Benchmark Data Sets for Knowledge Graph-based Similarity in the Biomedical Domain. - Carlota Cardoso; Rita Torres Sousa; Sebastian Köhler; Catia Pesquita (Database J. Biol. Databases Curation, 2020)

Evolving knowledge graph similarity for supervised learning in complex biomedical domains. - Rita Torres Sousa; Sara Silva; Catia Pesquita (BMC Bioinform., 2020)

evoKGsim+: A Framework for Tailoring Knowledge Graph-Based Similarity for Supervised Learning. - Rita Torres Sousa; Sara Silva; Catia Pesquita (ESWC (Satellite Events), 2021)

Is there data leakage in protein-protein interaction prediction using knowledge graphs? - Rita Torres Sousa; Sara Silva; Catia Pesquita (ISWC (Posters/Demos/Industry), 2021)

Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies. - Susana Nunes; Rita Torres Sousa; Catia Pesquita (CoRR, 2021)

Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events. - Ruben Branco; Diogo F. Soares; Andreia S. Martins; Eleonora Auletta; Eduardo N. Castanho; Susana Nunes; Filipa Serrano; Rita Torres Sousa; Catia Pesquita; Sara C. Madeira; Helena Aidos (CLEF (Working Notes), 2022)

Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity. - Susana Nunes; Rita Torres Sousa; Filipa Serrano; Ruben Branco; Diogo F. Soares; Andreia S. Martins; Eleonora Auletta; Eduardo N. Castanho; Sara C. Madeira; Helena Aidos; Catia Pesquita (CLEF (Working Notes), 2022)

The Supervised Semantic Similarity Toolkit. - Rita Torres Sousa; Sara Silva; Catia Pesquita (ESWC (Satellite Events), 2022)

Towards Supervised Biomedical Semantic Similarity. - Rita Torres Sousa; Sara Silva; Catia Pesquita (SeWeBMeDA@ESWC, 2022)

Benchmark Datasets for Biomedical Knowledge Graphs with Negative Statements. - Rita Torres Sousa; Sara Silva; Catia Pesquita (SeWeBMeDA@ESWC, 2023)

Explainable Representations for Relation Prediction in Knowledge Graphs. - Rita Torres Sousa; Sara Silva; Catia Pesquita (KR, 2023)

Biomedical Knowledge Graph Embeddings with Negative Statements. - Rita Torres Sousa; Sara Silva; Heiko Paulheim; Catia Pesquita (ISWC, 2023)

Supervised Biomedical Semantic Similarity. - Rita Torres Sousa; Sara Silva; Catia Pesquita (IEEE Access, 2023)

Semantic perspectives for learning over biomedical knowledge graphs - Rita Torres Sousa (2023)

Multi-domain knowledge graph embeddings for gene-disease association prediction. - Susana Nunes; Rita Torres Sousa; Catia Pesquita (J. Biomed. Semant., 2023)

Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Prediction. - Rita Torres Sousa; Heiko Paulheim (SeWeBMeDA@ESWC, 2024)

A Prompt Engineering Approach and a Knowledge Graph based Framework for Tackling Legal Implications of Large Language Model Answers. - George Hannah; Rita Torres Sousa; Ioannis Dasoulas; Claudia d'Amato (CoRR, 2024)

Explaining protein-protein interactions with knowledge graph-based semantic similarity. - Rita Torres Sousa; Sara Silva; Catia Pesquita (Comput. Biol. Medicine, 2024)

Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs. - Rita Torres Sousa; Heiko Paulheim (ESWC (1), 2025)

On the legal implications of Large Language Model answers: A prompt engineering approach and a view beyond by exploiting Knowledge Graphs. - George Hannah; Rita Torres Sousa; Ioannis Dasoulas; Claudia d'Amato (J. Web Semant., 2025)

Towards leveraging explicit negative statements in knowledge graph embeddings. - Rita Torres Sousa; Catia Pesquita; Heiko Paulheim (J. Web Semant., 2025)

Semantic Web and Creative AI - A Technical Report from ISWS 2023. - Raia Abu Ahmad; Reham Alharbi; Roberto Barile; Martin Böckling; Francisco Bolanos; Sara Bonfitto; Oleksandra Bruns; Irene Celino; Yashrajsinh Chudasama; Martin Critelli; Claudia d'Amato; Giada D'Ippolito; et al. (CoRR, 2025)

Gene expression knowledge graph for patient representation and diabetes prediction. - Rita Torres Sousa; Heiko Paulheim (J. Biomed. Semant., 2025)