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

Paper Submission

Research Paper Submission Tracks

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

Call for Papers Description

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.