Transfer Learning in Probabilistic Logic Models. - Pouya Ghiasnezhad Omran; Kewen Wang 001; Zhe Wang 001 (Australasian Conference on Artificial Intelligence, 2016)

Scalable Rule Learning via Learning Representation. - Pouya Ghiasnezhad Omran; Kewen Wang 001; Zhe Wang 001 (IJCAI, 2018)

Learning Temporal Rules from Knowledge Graph Streams. - Pouya Ghiasnezhad Omran; Kewen Wang 001; Zhe Wang 001 (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2019)

Knowledge Graph Rule Mining via Transfer Learning. - Pouya Ghiasnezhad Omran; Zhe Wang 001; Kewen Wang 001 (PAKDD (3), 2019)

A System for Reasoning-based Link Prediction in Large Knowledge Graphs. - Hong Wu; Zhe Wang 001; Xiaowang Zhang; Pouya Ghiasnezhad Omran; Zhiyong Feng 002; Kewen Wang 001 (ISWC (Satellites), 2019)

J2RM: An ontology-based JSON-to-RDF Mapping tool. - Sergio José Rodríguez Méndez; Armin Haller; Pouya Ghiasnezhad Omran; Jesse Wright; Kerry Taylor (ISWC (Demos/Industry), 2020)

Towards SHACL Learning from Knowledge Graphs. - Pouya Ghiasnezhad Omran; Kerry Taylor; Sergio José Rodríguez Méndez; Armin Haller (ISWC (Demos/Industry), 2020)

Schímatos: A SHACL-Based Web-Form Generator for Knowledge Graph Editing. - Jesse Wright; Sergio José Rodríguez Méndez; Armin Haller; Kerry Taylor; Pouya Ghiasnezhad Omran (ISWC (2), 2020)

on2ts- Typescript generation from OWL ontologies and SHACL. - Jesse Wright; Sergio José Rodríguez Méndez; Armin Haller; Kerry Taylor; Pouya Ghiasnezhad Omran (ISWC (Demos/Industry), 2020)

Unsupervised Anomaly Detection in Knowledge Graphs. - Subudhi Asara Senaratne; Pouya Ghiasnezhad Omran; Graham J. Williams; Peter Christen (IJCKG, 2021)

TNNT: The Named Entity Recognition Toolkit. - Sandaru Seneviratne; Sergio José Rodríguez Méndez; Xuecheng Zhang; Pouya Ghiasnezhad Omran; Kerry Taylor; Armin Haller (K-CAP, 2021)

MEL: Metadata Extractor & Loader. - Sergio José Rodríguez Méndez; Pouya Ghiasnezhad Omran; Armin Haller; Kerry Taylor (ISWC (Posters/Demos/Industry), 2021)

An Embedding-Based Approach to Rule Learning in Knowledge Graphs. - Pouya Ghiasnezhad Omran; Kewen Wang 001; Zhe Wang 001 (IEEE Trans. Knowl. Data Eng., 2021)

Learning Rules With Attributes and Relations in Knowledge Graphs. - Pouya Ghiasnezhad Omran; Zhe Wang 001; Kewen Wang 001 (AAAI Spring Symposium: MAKE, 2022)

RDF* Knowledge Graph Completion by Translation. - Linda Kwan; Pouya Ghiasnezhad Omran; Armin Haller (ISWC (Posters/Demos/Industry), 2022)

Active knowledge graph completion. - Pouya Ghiasnezhad Omran; Kerry Taylor; Sergio José Rodríguez Méndez; Armin Haller (Inf. Sci., 2022)

Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data. - Asara Senaratne; Peter Christen; Graham J. Williams; Pouya Ghiasnezhad Omran (AAAI Spring Symposium: MAKE, 2023)

TRIC: A Triples Corrupter for Knowledge Graphs. - Asara Senaratne; Pouya Ghiasnezhad Omran; Peter Christen; Graham J. Williams (ESWC (Satellite Events), 2023)

Data Augmented Knowledge Graph Completion via Pre-trained Language Models. - Shixuan Liu; Pouya Ghiasnezhad Omran; Kerry Taylor (ISWC (Posters/Demos/Industry), 2023)

ASKG: An Approach to Enrich Scholarly Knowledge Graphs through Paper Decomposition with Deep Learning. - Bowen Zhang; Sergio José Rodríguez Méndez; Pouya Ghiasnezhad Omran (ISWC (Posters/Demos/Industry), 2023)

A System's Approach Taxonomy for User-Centred XAI: A Survey. - Ehsan Emamirad; Pouya Ghiasnezhad Omran; Armin Haller; Shirley Gregor (CoRR, 2023)

Learning SHACL shapes from knowledge graphs. - Pouya Ghiasnezhad Omran; Kerry Taylor; Sergio José Rodríguez Méndez; Armin Haller (Semantic Web, 2023)

Rule Learning over Knowledge Graphs: A Review. - Hong Wu; Zhe Wang 001; Kewen Wang 001; Pouya Ghiasnezhad Omran; Jiangmeng Li (TGDK, 2023)

Embedding-Based First-Order Rule Learning in Large Knowledge Graphs. - Pouya Ghiasnezhad Omran; Hong Wu; Zhe Wang 001; Kewen Wang 001 (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Unsupervised Identification of Abnormal Nodes and Edges in Graphs. - Subudhi Asara Senaratne; Peter Christen; Graham J. Williams; Pouya Ghiasnezhad Omran (ACM J. Data Inf. Qual., 2023)

Towards Building an RDF-based Deep Document Model and Retrieval Augmented Generation System for Enhanced Question Answering with Large Language Models. - Runsong Jia; Bowen Zhang; Sergio José Rodríguez Méndez; Pouya Ghiasnezhad Omran (ISWC (Posters/Demos/Industry), 2024)

Using Knowledge Graphs and Agentic LLMs for Factuality Text Assessment and Improvement. - Linda Kwan; Pouya Ghiasnezhad Omran; Kerry Taylor (ISWC (Posters/Demos/Industry), 2024)

Leveraging Large Language Models for Semantic Query Processing in a Scholarly Knowledge Graph. - Runsong Jia; Bowen Zhang; Sergio José Rodríguez Méndez; Pouya Ghiasnezhad Omran (CoRR, 2024)

Anomaly Detection and Classification in Knowledge Graphs. - Asara Senaratne; Peter Christen; Pouya Ghiasnezhad Omran; Graham J. Williams (CoRR, 2024)

Open Local Knowledge Graph Construction from Academic Papers Using Generative Large Language Models. - Haoting Chen; Sergio José Rodríguez Méndez; Pouya Ghiasnezhad Omran (WWW (Companion Volume), 2025)

StructRAG: Structure-Aware RAG Framework with Scholarly Knowledge Graph for Diverse Question Answering. - Runsong Jia; Bowen Zhang; Sergio José Rodríguez Méndez; Pouya Ghiasnezhad Omran (WWW (Companion Volume), 2025)