August 12, 2026· ~6 min readDistributed Graph Processing in 2026: Pregel to Trillion-Edge Systems # Distributed Graph Processing in 2026: Pregel to Trillion-Edge Systems The graph-research corpus contains 409 papers on distributed graph processin
August 7, 2026· ~5 min readGQL Meets Threat Intelligence: Querying Provenance Graphs for Cyber Attack Investigation # GQL Meets Provenance: Querying Provenance Graphs for Cyber Attack Investigation The GQL deep-dive in our graph research corpus confirms what the r
August 2, 2026· ~4 min readThe GQL Era: Query Languages for Property Graphs in 2026 # The GQL Era: Query Languages for Property Graphs in 2026 The quietest fast-moving story in graph research is the **query language**. GQL — the ISO
July 15, 2026· ~7 min readFraud Detection with Graph Databases: Patterns, Algorithms, and Production Architectures ## Why Graphs for Fraud Detection? Fraud is fundamentally relational. A synthetic identity shares a phone number with a known bad actor. A credit ca
July 6, 2026· ~10 min readGraph Data Modeling Patterns: From Whiteboard to Neo4j ## Why Data Modeling Matters in Graphs Relational databases have decades of normalisation theory. Graph databases have patterns — repeatable structu
June 7, 2026· ~16 min readOntology in Graph Databases: Lessons from Building a Medical Diagnostics Knowledge Graph Ontology in a graph database is not an academic exercise — it is the difference between a graph that answers questions and a graph that is a tangled