Publications

More than 50 papers in top-tier venues. The complete list is on DBLP and Google Scholar. Students supervised by or working closely with me are marked with an asterisk (*).

Jump to: Agentic AI, memory and safety · LLM and knowledge graph systems · Data systems foundations · Earlier publications (2005–2018)

Agentic AI, memory and safety

A1
Architectural Design, Not Only Model Intelligence, Governs Multi-Agent LLM Performance Abdelghny Orogat*, Ana Rostam*, Essam Mansour. Proceedings of the ACM on Management of Data (SIGMOD), 2027.arXiv Code
A2
Is Agent Memory a Database? Rethinking Data Foundations for Long-Term AI Agent Memory Abdelghny Orogat*, Essam Mansour. Vision paper, 2026.arXiv Code
A3
Chatty-KG: A Multi-Agent AI System for On-Demand Conversational Question Answering over Knowledge Graphs Reham Omar*, Abdelghny Orogat*, Ibrahim Abdelaziz, Omij Mangukiya*, Panos Kalnis, Essam Mansour. Proceedings of the ACM on Management of Data (SIGMOD), 2026.arXiv Code
A4
OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs Ahmed Aly*, Essam Mansour, Amr Youssef. ACM Conference on Computer and Communications Security (CCS), 2025.arXiv Code
A5
MEGR-APT: A Memory-Efficient APT Hunting System Based on Attack Representation Learning Ahmed Aly*, Shahrear Iqbal, Amr Youssef, Essam Mansour. IEEE Transactions on Information Forensics and Security (TIFS), 2024.IEEE

LLM and knowledge graph systems

L1
ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling Saeed Fathollahzadeh*, Essam Mansour, Matthias Boehm. PVLDB (VLDB 2026), 2026.arXiv Code
L2
Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs Hussein Abdallah*, Ibrahim Abdelaziz, Panos Kalnis, Essam Mansour. 19th Conference of the European Chapter of the ACL (EACL), 575–592, 2026.arXiv
L3
KG-WISE: An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs Waleed Afandi*, Hussein Abdallah*, Ashraf Aboulnaga, Essam Mansour. IEEE ICDE, 2026.arXiv
L4
Beyond Large Models: Reliable and Cost-Effective Exploratory Data Analysis via Knowledge-Grounded RAG Mossad Helali*, Yutai Luo, Tae Jun Ham, Jim Plotts, Ashwin Chaugule, Jichuan Chang, Parthasarathy Ranganathan, Essam Mansour. EMNLP, main conference, 2025.Paper Code
L5
CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines Saeed Fathollahzadeh*, Essam Mansour, Matthias Boehm. PVLDB 18(4) (VLDB 2025), 2025.Paper Code
L6
Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs Reham Omar*, Omij Mangukiya*, Essam Mansour. Proceedings of the ACM on Management of Data (SIGMOD), 2025.DOI Code
L7
A Universal Question-Answering Platform for Knowledge Graphs Reham Omar*, Ishika Dhall*, Panos Kalnis, Essam Mansour. Proceedings of the ACM on Management of Data 1(1), 1–25 (SIGMOD 2023), 2023.DOI Code

Data systems foundations

D1
KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science Mossad Helali*, Niki Monjazeb*, Shubham Vashisth*, Philippe Carrier*, Ahmed Helal*, Antonio Cavalcante, Khaled Ammar, Katja Hose, Essam Mansour. IEEE ICDE, 2024.IEEE Code
D2
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling Hussein Abdallah*, Waleed Afandi*, Panos Kalnis, Essam Mansour. IEEE ICDE, 2024.IEEE Code
D3
A Scalable AutoML Approach Based on Graph Neural Networks Mossad Helali*, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas. PVLDB 15(1), 2428–2436 (VLDB 2022), 2022.arXiv Code
D4
Federated Data Science to Break Down Silos Essam Mansour, Kavitha Srinivas, Katja Hose. ACM SIGMOD Record 50(4), 16–22, 2022.arXiv
D5
Lusail: A System for Querying Linked Data at Scale Ibrahim Abdelaziz*, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis. PVLDB 11(4), 485–498 (VLDB 2018), 2018.Project
D6
E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Rebecca Taft, Essam Mansour, Marco Serafini, Jennie Duggan, Aaron J. Elmore, Ashraf Aboulnaga, Andrew Pavlo, Michael Stonebraker. PVLDB 8(3), 245–256 (VLDB 2015), 2015.PDF Project

Earlier work

Papers from 2005 to 2018 on elastic OLTP, federated linked data, parallel sequence analytics and mobile data management, with PDFs, are kept in the archive.