Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

Modeling Complex Data Structure in Golang Using Pointers, References, and Reverse Indices Jan 23, 2025 15 min read by Omer Zuarets Back End Engineer at Permit.io Follow reviewed by Sergio De Simone ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

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 ...

A research team from DeepMind, Mila – University of Montreal and Google Brain challenges the conventional causal induction approach in their new paper Learning to Induce Causal Structure, proposing a ...

Property graphs such as Neo4j or TigerGraph are extremely popular for building out knowledge graphs. Neo4j is particularly well regarded by developers as easy to get started with, while TigerGraph ...

Graph analytics can be performed on any back end, as they only require reading graph-shaped data. Graph databases are databases with the ability to fully support both read and write, utilizing a ...

Sparse coding is a popular technique for achieving compact data representation and has been used in many applications. However, the instability issue often causes degeneration in practice and thus ...