Pointers

Communities

• GraphGeeks: a global community for data enthusiasts, researchers, and professionals passionate about graph technology.
• Awesome Graph Universe: a curated list of resources for graph-related topics, including graph databases, analytics and science.

Events

GDC runs its own annual Technical User Community meeting, usually co-located with SIGMOD or VLDB.

Conferences

Note: these conferences are not affiliated with the GDC.

• Connected Data London: held in London. Focuses on graph applications.
• Graph the Planet: a one-day summit in San Francisco. Focuses on generative AI and graphs.
• Knowledge Graph Conference (KGC): held in New York. Focuses on knowledge graphs.

Events

Note: these events are not affiliated with the GDC.

• GRADES-NDA (Graph Data Management Experiences & Systems and Network Data Analytics)
• GraphSys (Serverless, Extreme-Scale, and Sustainable Graph Processing Systems)
• Graph Weekend at Data Day Texas 2026
• LLM+Graph
• LSGDA (Large Scale Graph Data Analytics)
• TGD (Transforming Graph Data)
• TGL (Temporal Graph Learning)

Recommended reading and talks

Blog posts

• Alastair Green, LDBC’s vice chair, has several LinkedIn articles on ontologies, GQL and SQL/PGQ
• The Kùzu blog has several posts about important concepts in graph data management

Books

• Getting Started with the Graph Query Language (GQL): The complete guide to designing, querying, and managing graph databases with GQL

Talks

• Average is a Lie – Using Graph Analytics to Improve Predictions (2022) by Amy Hodler
• SQL/PGQ: A systems perspective (2023) by Peter Boncz
• GraphflowDB and Modern Query Processing Techniques for the Graph Database Management Systems (2021) by Semih Salihoglu
• The LDBC Benchmark Suite (2023) by Gábor Szárnyas

Similar projects and organizations

Note: these benchmarks are not affiliated with the GDC.

• benchANT: cloud and database consulting
• OGB (Open Graph Benchmark)
• TGB (Temporal Graph Benchmark)
• TPC (Transaction Processing Performance Council)
• Graph-Massivizer: an EU project to research and develop a high-performance, scalable, and sustainable platform for massive graph processing
• Spare Cores: a Python-based open-source ecosystem, provides a comprehensive and standardized inventory, along with performance evaluations of available compute resources across public cloud and server providers.

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