Videos
Graph Data Council YouTube channel
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
TUC meetings
GDC runs its own annual Technical User Community meeting, often co-located with 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.
Workshops
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), was formerly at
transforming-graphs-workshop.org, currently not available - 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
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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