38 citations · 45 across the 4 of their papers we have counts for
4 papers
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…
ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots
Reham Omar, Omij Mangukiya, Panos Kalnis +1
Conversational AI and Question-Answering systems (QASs) for knowledge graphs (KGs) are both emerging research areas: they empower users with natural language interfaces for extract…
Scheduling Broadcasts in a Network of Timelines
Emaad Manzoor, Haewoon Kwak, Panos Kalnis
Broadcasts and timelines are the primary mechanism of information exchange in online social platforms today. Services like Facebook, Twitter and Instagram have enabled ordinary peo…
PHD-Store: An Adaptive SPARQL Engine with Dynamic Partitioning for Distributed RDF Repositories
Razen Al-Harbi, Yasser Ebrahim, Panos Kalnis
Many repositories utilize the versatile RDF model to publish data. Repositories are typically distributed and geographically remote, but data are interconnected (e.g., the Semantic…