5 citations · 5 across the 3 of their papers we have counts for
5 papers
TrajLearn: Trajectory Prediction Learning using Deep Generative Models
Amirhossein Nadiri, Jing Li, Ali Faraji +2
Trajectory prediction aims to estimate an entity's future path using its current position and historical movement data, benefiting fields like autonomous navigation, robotics, and…
LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates
Shaikh Quader, Andres Jaramillo, Sumona Mukhopadhyay +5
In a modern DBMS, working memory is frequently the limiting factor when processing in-memory analytic query operations such as joins, sorting, and aggregation. Existing resource es…
Transforming RDF-star to Property Graphs: A Preliminary Analysis of Transformation Approaches -- extended version
Ghadeer Abuoda, Daniele Dell'Aglio, Arthur Keen +1
RDF and property graph models have many similarities, such as using basic graph concepts like nodes and edges. However, such models differ in their modeling approach, expressivity,…
RDFFrames: Knowledge Graph Access for Machine Learning Tools
Aisha Mohamed, Ghadeer Abuoda, Abdurrahman Ghanem +2
Knowledge graphs represented as RDF datasets are integral to many machine learning applications. RDF is supported by a rich ecosystem of data management systems and tools, most not…
Link Prediction via Higher-Order Motif Features
Ghadeer Abuoda, Gianmarco De Francisci Morales, Ashraf Aboulnaga
Link prediction requires predicting which new links are likely to appear in a graph. Being able to predict unseen links with good accuracy has important applications in several dom…