Anomaly detection in heterogeneous bibliographic information networks using co-evolution pattern mining. - Malik Khizar Hayat; Ali Daud (Scientometrics, 2017)

Towards Deep Learning Prospects: Insights for Social Media Analytics. - Malik Khizar Hayat; Ali Daud; Abdulrahman A. Alshdadi; Ameen Banjar; Rabeeh Ayaz Abbasi; Yukun Bao; Hussain Dawood (IEEE Access, 2019)

Finding rising stars in bibliometric networks. - Ali Daud; Min Song 001; Malik Khizar Hayat; Tehmina Amjad; Rabeeh Ayaz Abbasi; Hassan Dawood; Anwar Ghani (Scientometrics, 2020)

Group Anomaly Detection: Past Notions, Present Insights, and Future Prospects. - Aqeel Feroze; Ali Daud; Tehmina Amjad; Malik Khizar Hayat (SN Comput. Sci., 2021)

Indexing important drugs from medical literature. - Riad Alharbey; Jong In Kim; Ali Daud; Min Song 001; Abdulrahman A. Alshdadi; Malik Khizar Hayat (Scientometrics, 2022)

Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification. - Malik Khizar Hayat; Shan Xue 001; Jian Yang 001 (ICDM, 2023)

OpenRank - a novel approach to rank universities using objective and publicly verifiable data sources. - Muhammad Sajid Qureshi; Ali Daud; Malik Khizar Hayat; Muhammad Tanvir Afzal (Libr. Hi Tech, 2023)

Identifying Rising Stars via Supervised Machine Learning. - Ali Daud; Naveed Islam; Xin Li; Imran Razzak; Malik Khizar Hayat (IEEE Trans. Comput. Soc. Syst., 2023)

Heading Towards Sub-Discipline Rankings for Higher Education Institutions. - Muhammad Sajid Qureshi; Ali Daud; Malik Khizar Hayat; Min Song 001; Yejin Park (IEEE Trans. Comput. Soc. Syst., 2023)

A deep co-evolution architecture for anomaly detection in dynamic networks. - Malik Khizar Hayat; Ali Daud; Ameen Banjar; Riad Alharbey; Amal Bukhari (Multim. Tools Appl., 2024)

Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks. - Malik Khizar Hayat; Shan Xue 001; Jia Wu 001; Jian Yang 001 (IEEE Trans. Artif. Intell., 2024)

Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification. - Malik Khizar Hayat; Shan Xue 001; Jia Wu 001; Bilal Khan; Jian Yang 001 (WSDM, 2025)

Self-supervised multi-hop heterogeneous hypergraph embedding with informative pooling for graph-level classification. - Malik Khizar Hayat; Shan Xue 001; Jian Yang 001 (Knowl. Inf. Syst., 2025)