2 papers
cs.LG2026
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…
cs.LG2025
gHAWK: Local and Global Structure Encoding for Scalable Training of Graph Neural Networks on Knowledge Graphs
Humera Sabir, Fatima Farooq, Ashraf Aboulnaga
Knowledge Graphs (KGs) are a rich source of structured, heterogeneous data, powering a wide range of applications. A common approach to leverage this data is to train a graph neura…