Exploiting Semantics for Explaining Link Prediction Over Knowledge Graphs. - Yashrajsinh Chudasama (ESWC (Satellite Events), 2023)

Enhancing Interpretability of Machine Learning Models over Knowledge Graphs. - Yashrajsinh Chudasama; Disha Purohit; Philipp D. Rohde; Maria-Esther Vidal (SEMANTiCS (Posters & Demos), 2023)

SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning. - Disha Purohit; Yashrajsinh Chudasama; Ariam Rivas; Maria-Esther Vidal (K-CAP, 2023)

VISE: Validated and Invalidated Symbolic Explanations for Knowledge Graph Integrity. - Disha Purohit; Yashrajsinh Chudasama; Maria Torrente; Maria-Esther Vidal (EXPLIMED@ECAI, 2024)

Semantically Describing Predictive Models for Interpretable Insights into Lung Cancer Relapse. - Yashrajsinh Chudasama; Disha Purohit; Philipp D. Rohde; Enrique Iglesias; Maria Torrente; Maria-Esther Vidal (SEMANTICS, 2024)

Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGs. - Disha Purohit; Yashrajsinh Chudasama; Maria-Esther Vidal (WSDM, 2025)

SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations. - Kossi Amouzouvi; Yashrajsinh Chudasama; Disha Purohit; Ariam Rivas; Bowen Song; Jens Lehmann 001; Sahar Vahdati; Maria-Esther Vidal (IEEE Access, 2025)

Toward Interpretable Hybrid AI: Integrating Knowledge Graphs and Symbolic Reasoning in Medicine. - Yashrajsinh Chudasama; Hao Huang 014; Disha Purohit; Maria-Esther Vidal (IEEE Access, 2025)

VANILLA: Validated knowledge graph completion - A Normalization-based framework for Integrity, Link prediction, and Logical Accuracy. - Disha Purohit; Yashrajsinh Chudasama; Maria-Esther Vidal (Knowl. Based Syst., 2025)

Integrating Knowledge Graphs with Symbolic AI: The Path to Interpretable Hybrid AI Systems in Medicine. - Maria-Esther Vidal; Yashrajsinh Chudasama; Hao Huang 014; Disha Purohit; Maria Torrente (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)