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Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring. These methods ...
Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.
Just getting data in and out of property graph solutions is an exercise in patience and improvisation -- good luck representing a graph structure in CSV, and mapping that from solution to solution.
Download KgBase's Vision Paper to learn how to build the ultimate enterprise knowledge system: a federated mesh of independently maintained no-code knowledge graphs.
Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2023, Joseph Hilger, COO, Enterprise Knowledge LLC ...
Soren Lassen, manager of the search infrastructure team at Facebook, described that "in computer science speak," the Social Graph is a graph data structure involving an "immense map" of people ...
Facebook reaches Social Graph database benchmark: Facebook engineers discuss the development processes behind LinkBench, and how it’s being used at the world's largest social network today.
For 40 years, the Big Five personality model has dominated psychology, but new research suggests it may be incomplete.
Direct Acyclic Graph or DAG may be it. What is DAG? DAG is a directed graph data structure that uses a topological ordering. The sequence can only go from earlier to later.