Eighth Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)

GRADES-NDA 2025 marks the eighth joint meeting of the GRADES and NDA workshops, which have been independently co-located with the SIGMOD/PODS conference since 2013 and 2016, respectively. The workshop provides a dedicated forum for advancing the state of the art in graph data management and network analytics, fostering cross-disciplinary collaboration on recent advances in handling complex, interconnected data at scale. GRADES-NDA brings together researchers and practitioners from diverse backgrounds to explore foundational models, scalable systems, and emerging applications of graph-structured data. The 2025 edition highlights topics such as graph query languages, processing platforms, dynamic and streaming graphs, and graph-based machine learning, with growing attention to intersections with generative AI and privacy-preserving computation.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1145/3722212.3724484
Primary Topic
Graph Theory and Algorithms
Type
article
Field-Weighted Citation Impact
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article

Eighth Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)

Stefania Dumbrava, Akhil Arora
Graph Theory and Algorithms
article

Eighth Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)

Stefania Dumbrava, Akhil Arora
article en

Abstract

GRADES-NDA 2025 marks the eighth joint meeting of the GRADES and NDA workshops, which have been independently co-located with the SIGMOD/PODS conference since 2013 and 2016, respectively. The workshop provides a dedicated forum for advancing the state of the art in graph data management and network analytics, fostering cross-disciplinary collaboration on recent advances in handling complex, interconnected data at scale. GRADES-NDA brings together researchers and practitioners from diverse backgrounds to explore foundational models, scalable systems, and emerging applications of graph-structured data. The 2025 edition highlights topics such as graph query languages, processing platforms, dynamic and streaming graphs, and graph-based machine learning, with growing attention to intersections with generative AI and privacy-preserving computation.

Télécom Paris (FR), Aarhus University (DK), École Nationale Supérieure d’Informatique pour l’Industrie et l’Entreprise (FR), Institut Polytechnique de Paris (FR), Télécom SudParis (FR)
Industry, innovation and infrastructure
Openalex Percentile: Top 88%
Graph Theory and Algorithms
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