42 citations · 85 across the 11 of their papers we have counts for
12 papers
Rethinking Query Optimization for Multi-Agent Systems [Vision]
Zoi Kaoudi, Ioana Giurgiu
The proliferation of large language models (LLMs) has accelerated the adoption of agent-based data pipelines. Yet current approaches remain ad hoc, relying on fixed structures, pre…
Counting Butterflies in Fully Dynamic Bipartite Graph Streams
Serafeim Papadias, Zoi Kaoudi, Varun Pandey +2
A bipartite graph extensively models relationships between real-world entities of two different types, such as user-product data in e-commerce. Such graph data are inherently becom…
Space-Efficient Random Walks on Streaming Graphs
Serafeim Papadias, Zoi Kaoudi, Jorge-Arnulfo Quiane-Ruiz +1
Graphs in many applications, such as social networks and IoT, are inherently streaming, involving continuous additions and deletions of vertices and edges at high rates. Constructi…
Good Intentions: Adaptive Parameter Management via Intent Signaling
Alexander Renz-Wieland, Andreas Kieslinger, Robert Gericke +3
Parameter management is essential for distributed training of large machine learning (ML) tasks. Some ML tasks are hard to distribute because common approaches to parameter managem…
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning
Zoi Kaoudi, Abelardo Carlos Martinez Lorenzo, Volker Markl
Knowledge graph completion (a.k.a.~link prediction), i.e.,~the task of inferring missing information from knowledge graphs, is a widely used task in many applications, such as prod…
NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi +1
Parameter servers (PSs) facilitate the implementation of distributed training for large machine learning tasks. In this paper, we argue that existing PSs are inefficient for tasks…
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…
Agora: A Unified Asset Ecosystem Going Beyond Marketplaces and Cloud Services
Jonas Traub, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi +1
Data, algorithms, and compute/storage infrastructure are key assets that drive data science and artificial intelligence applications. As providing all these assets requires a huge…
AI-CARGO: A Data-Driven Air-Cargo Revenue Management System
Stefano Giovanni Rizzo, Ji Lucas, Zoi Kaoudi +2
We propose AI-CARGO, a revenue management system for air-cargo that combines machine learning prediction with decision-making using mathematical optimization methods. AI-CARGO addr…
Building your Cross-Platform Application with RHEEM
Sanjay Chawla, Bertty Contreras-Rojas, Zoi Kaoudi +2
Today, organizations typically perform tedious and costly tasks to juggle their code and data across different data processing platforms. Addressing this pain and achieving automat…
RHEEMix in the Data Jungle: A Cost-based Optimizer for Cross-platform Systems
Sebastian Kruse, Zoi Kaoudi, Bertty Contreras +3
In pursuit of efficient and scalable data analytics, the insight that "one size does not fit all" has given rise to a plethora of specialized data processing platforms and today's…
A Cost-based Optimizer for Gradient Descent Optimization
Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan +2
As the use of machine learning (ML) permeates into diverse application domains, there is an urgent need to support a declarative framework for ML. Ideally, a user will specify an M…