About us

The GRADES-NDA workshop explores the challenges, application areas, and usage scenarios of managing large-scale graph-shaped data. It provides a forum for exchanging ideas on mining, querying, and learning from real-world network data, fostering interdisciplinary collaboration, and sharing datasets and benchmarks. GRADES-NDA brings together researchers from academia, industry, and government to discuss advances in large-scale graph data management and analytics. Its scope covers domain-specific challenges, noise handling in real-world graphs, and innovations in databases, data mining, machine learning, data streaming, network science, and graph algorithms. Case studies across diverse areas are welcome, including Social Networks, Business Analytics, Healthcare, and Cybersecurity.

Important Dates

Sun, Mar 8, 2026
Abstract Submission
Sun, Mar 15, 2026
Paper Submission
Mon, Apr 13, 2026
Notifications
Sun, Apr 26, 2026
Camera Ready Submission
Fri, Jun 5, 2026
Workshop

Call For Paper

Graph modeling and processing
Graph query languages, visualization, and querying interfaces
Knowledge Graphs
GenAI techniques
Graph processing platforms
Human-centric graph processing
Reliable graph data processing
Graph metrics
Spatial and temporal graph analytics
Graph mining and machine learning
Graph summarization and sampling
Noisy and uncertain graphs
Network dynamics
Domain-specific graph analytics
Vision and systems papers

All papers must be original and not simultaneously submitted to another journal or conference. Submissions must follow the latest 2-column ACM Primary Article Template and have to be anonymous. Categories include Archival (Full papers max 8 pages, Short/Demo/Case studies max 4 pages) and Non-archival (max 4 pages). GRADES-NDA 2026 will recognize outstanding submissions with a Best Paper Award.

Committee

Workshop Organisers

Akhil Arora

Aarhus University & Copenhagen Center for Social Data Science, Denmark

Stefania Dumbrava

ENSIIE & Télécom SudParis, France

Steering Committee

Olaf Hartig

Amazon Web Services & Linköping University, Sweden

Semih Salihoglu

University of Waterloo, Canada

Vasiliki Kalavri

Boston University, US

George Fletcher

TU Eindhoven, The Netherlands