Malik Khizar Hayat

According to our database, Malik Khizar Hayat authored at least 13 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Self-supervised multi-hop heterogeneous hypergraph embedding with informative pooling for graph-level classification.

Malik Khizar Hayat, Shan Xue, Jian Yang

Knowl. Inf. Syst., February, 2025

Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification.

Malik Khizar Hayat, Shan Xue, Jia Wu, Bilal Khan, Jian Yang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks.

Malik Khizar Hayat, Shan Xue, Jia Wu, Jian Yang

IEEE Trans. Artif. Intell., November, 2024

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., April, 2024

2023

Heading Towards Sub-Discipline Rankings for Higher Education Institutions.

Muhammad Sajid Qureshi, Ali Daud, Malik Khizar Hayat, Min Song, Yejin Park

IEEE Trans. Comput. Soc. Syst., December, 2023

Identifying Rising Stars via Supervised Machine Learning.

Ali Daud, Naveed Islam, Xin Li, Imran Razzak, Malik Khizar Hayat

IEEE Trans. Comput. Soc. Syst., October, 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, June, 2023

Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification.

Malik Khizar Hayat, Shan Xue, Jian Yang

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Indexing important drugs from medical literature.

Riad Alharbey, Jong In Kim, Ali Daud, Min Song, Abdulrahman A. Alshdadi, Malik Khizar Hayat

Scientometrics, 2022

2021

Group Anomaly Detection: Past Notions, Present Insights, and Future Prospects.

Aqeel Feroze, Ali Daud, Tehmina Amjad, Malik Khizar Hayat

SN Comput. Sci., 2021

2020

Finding rising stars in bibliometric networks.

Ali Daud, Min Song, Malik Khizar Hayat, Tehmina Amjad, Rabeeh Ayaz Abbasi, Hassan Dawood, Anwar Ghani

Scientometrics, 2020

2019

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

2017

Anomaly detection in heterogeneous bibliographic information networks using co-evolution pattern mining.

Malik Khizar Hayat, Ali Daud

Scientometrics, 2017