Graphs — Intuitively and Exhaustively Explained
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Graph Data Models for RAG Applications
Basic Graph Data Model
Questions
Topics & Summaries
Combining the Data Models
Trapped in the Net: Where is a Foundation Model for Graphs?
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Static Graph Data vs. Dynamic Graph Library
OpenAI’s graph approach is a stepping stone, but it’s too tethered to human oversight — someone’s got to write the docs, someone’s got to update them.
SiriuS sidesteps that bottleneck, letting agents bootstrap their own process.
Entity-State Model and Event Graphs for Time-Aware AI Agents Memory
Semantic search and its supplement ‘Graph based prompting’
GraphReader: a graph based Agent to enhance long-context abilities of LLMs
Is Data Unstructured? Construction of Graphs from Conversations
Concept Graphs
Concept Graphs and Frames for Reasoning AI Agents
Unlike traditional knowledge graphs, concept graphs are designed with reasoning in mind, allowing them to be translated directly into formal logic.
Relations as Nodes: Concept Graphs and Subgraphs for AI Memory Models
Concept Graphs on Event “Steroids” for AI Memory
Metagraph
Metagraphs as Homoiconic Structures: Revolutionizing Knowledge Representation
Graph Convolutional Networks
Graph Convolutional Networks — Intuitively and Exhaustively Explained
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GQL
Beyond a Query Language: How GQL is Shaping the Future of Graph Databases
NebulaGraph
The Future of Databases — Graph Relational
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Relational Database
Why You Need a Knowledge Graph, And How to Build It
A Guide to Migrating from a Relational Database to a Graph Database
Turning Your Relational Database into a Graph Database
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Schema-less Graphs Using SQL
Graph Database
Reification in Graph Databases: Benefits and Challenges
Instead of merely connecting two nodes with an edge, reification creates a new node to represent that relationship itself, allowing it to participate in further relationships and carry its own properties.