5 papers
ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling
Saeed Fathollahzadeh, Essam Mansour, Matthias Boehm
Heuristic query rewriting has long complemented cost-based optimization to improve performance. Such rewrites transform SQL queries into semantically equivalent forms that are easi…
Is Agent Memory a Database? Rethinking Data Foundations for Long-Term AI Agent Memory
Abdelghny Orogat, Essam Mansour
Long-running AI agents need persistent memory. Memory supports learning across sessions, reduces repeated context injection, and enables auditing of past decisions. Current agent m…
An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs
Waleed Afandi, Hussein Abdallah, Ashraf Aboulnaga +1
Efficient inference for graph neural networks (GNNs) on large knowledge graphs (KGs) is essential for many real-world applications. GNN inference queries are computationally expens…
OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs
Ahmed Aly, Essam Mansour, Amr Youssef
Advanced Persistent Threats (APTs) are stealthy cyberattacks that often evade detection in system-level audit logs. Provenance graphs model these logs as connected entities and eve…
Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs
Reham Omar, Omij Mangukiya, Essam Mansour
Dialogue benchmarks are crucial in training and evaluating chatbots engaging in domain-specific conversations. Knowledge graphs (KGs) represent semantically rich and well-organized…