2 papers
cs.LG2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling
Hussein Abdallah, Waleed Afandi, Panos Kalnis +1
A Knowledge Graph (KG) is a heterogeneous graph encompassing a diverse range of node and edge types. Heterogeneous Graph Neural Networks (HGNNs) are popular for training machine le…
cs.DB2023
Towards a GML-Enabled Knowledge Graph Platform
Hussein Abdallah, Essam Mansour
This vision paper proposes KGNet, an on-demand graph machine learning (GML) as a service on top of RDF engines to support GML-enabled SPARQL queries. KGNet automates the training o…