This repository is stored at https://github.com/szarnyasg/graph-data-management/ and its content is deployed to https://szarnyasg.github.io/graph-data-management.
This repository contains pointers to the theory and practice of modern graph data management:
- GQL and SQL/PGQ: new standard query languages
- Literature on graph processing: some papers and dissertations on graph processing
- The Linked Data Benchmark Council: a non-profit organization for fostering competition in the graph data management space
- Relational techniques for graph processing: relational techniques have been researched and experimented with for decades, here's a collection of the relevant scientific works
- RDF and SPARQL: semantic technologies still play a significant role