Mohammed J. Zaki

Mohammed J. Zaki is affiliated with Rensselaer Polytechnic Institute in the United States. Their research primarily spans the field of Computer Science, with a particular emphasis on Artificial Intelligence, Information Systems, Signal Processing, Management Science and Operations Research, and Molecular Biology.

The scientist's work covers several key topics, including:

• Advanced Graph Neural Networks
• Topic Modeling
• Advanced Text Analysis Techniques
• Time Series Analysis and Forecasting
• Stock Market Forecasting Methods
• Data Mining Algorithms and Applications
• Data Management and Algorithms

Among the recent papers authored or co-authored by Mohammed J. Zaki are:

• "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings" (2020), published in arXiv (Cornell University)
• "Global Self-Attention as a Replacement for Graph Convolution" (2022), published in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• "Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks" (2023), published in IEEE Transactions on Neural Networks and Learning Systems
• "A Survey of Figurative Language and Its Computational Detection in Online Social Networks" (2020), published in ACM Transactions on the Web
• "Unmasking Fracture Risk in Type 2 Diabetes: The Association of Longitudinal Glycemic Hemoglobin Level and Medications" (2021), published in The Journal of Clinical Endocrinology & Metabolism

Mohammed J. Zaki has published extensively in various venues, with notable frequent publication sources including:

• arXiv (Cornell University)
• Zenodo (CERN European Organization for Nuclear Research)
• OPAL (Open@LaTrobe) (La Trobe University)
• Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• ACM Transactions on Knowledge Discovery from Data

Frequent co-authors who have collaborated with Mohammed J. Zaki include:

• Wagner Meira
• Aparna Gupta
• Bolun Xia
• Yuchen Liang
• Dmitry Krotov

In addition to journal and conference publications, Mohammed J. Zaki has contributed to book publications, including a work titled Data Mining and Machine Learning, published by Cambridge University Press in 2020.

The scientist's recognition includes being named an IEEE Fellow in 2017 for contributions to knowledge discovery and data mining. In 2010, they were also awarded the status of ACM Distinguished Member.