Social Media Ideas for Graph Analytics

Latest updates for Graph Analytics

Fresh curated links around Graph Analytics are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Post angles to try

Share the most useful takeaway for your audience.

Turn one article into a quick practical checklist.

Ask your audience how this shift affects their work.

Turn angles into scheduled posts

Fresh articles and ideas

Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.

cloud.google.com /1 week ago

BigQuery Graph is now GA: the knowledge foundation for the agentic era

Many of the questions that matter in enterprise data aren't just about individual rows — they're about how things connect: how two accounts are linked, what path a payment took, wh...

Read source

cloud.google.com /3 weeks ago

Using BigQuery Graphs with measures for trusted agentic workloads

When enterprises transition from using simple chat assistants to autonomous, agentic workloads, they quickly run into a hard truth: Agents are prone to inaccurate insights when wor...

Read source

levelup.gitconnected.com /1 month ago

Graph Engineering Is Loop Engineering With An Org Chart Drawn On Top

The AI industry found a new word for something LangGraph shipped three years ago. Here is what actually changed, and what didn’t from FDE…Continue reading on Level Up Coding »

Read source

dzone.com /3 weeks ago

Graph Engineering: The Layer After Loop Engineering

A few months back, I wrote about Loop Engineering: The Layer After Prompt, Context, and Harness Engineering, arguing that once your prompts are tuned, your context is assembled, an...

Read source

dzone.com /1 month ago

GraphRAG in Practice Using Spring AI, Neo4j, and Goodreads Data

Large language models (LLMs) are impressive — until they are not. If you ask one about your internal data, your product catalog, or your users' reviews, it will either hallucinate...

Read source

dzone.com /4 weeks ago

Supply Chain Resilience Analysis With Apache Spark and Neo4j

Supply chains are graphs. Suppliers feed into warehouses, warehouses feed into distribution centers, and distribution centers feed into retailers. When we model them that way — as...

Read source

theregister.com /5 days ago

PostgreSQL 19 connects the dots with standardized graph queries

Baked-in SQL syntax arrives through multi-vendor collaboration, although indexing still needs to catch up

Read source

towardsdatascience.com /1 week ago

Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply

A visual guide to how graph neural networks work under the hood The post Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply appeared first on Towards Data Science.

Read source

towardsdatascience.com /2 weeks ago

Recursive CTEs: SQL’s Hidden Graph Traversal Engine

A practical guide to navigate hierarchies, find routes, detect cycles and calculate degrees of separation The post Recursive CTEs: SQL’s Hidden Graph Traversal Engine appeared firs...

Read source

journals.plos.org /1 month ago

grafify online: A web app for graphing and statistical analysis

by Avinash R. Shenoy grafify online is a free, browser-based app for generating publication-quality graphs and performing statistical tests and post-hoc comparisons. Users can cus...

Read source

towardsdatascience.com /2 weeks ago

Making the Knowledge Layer a Graph You Actually Traverse

Why retrieval quality should be a property of the system, not of the question's wording? Rebuilding knowledge layer with graph traversal on every query, bitemporal edges, and two-t...

Read source

dev.to /1 day ago

Apache AGE under load: how PostgreSQL graphs behave under stress

This story started when we found several segfaults in Apache AGE. Segfaults in a young extension are not exactly shocking, but they raised a fair question: if stability is still a...

Read source

dzone.com /1 month ago

GraphRAG Retrieval Is Three Decisions: Granularity, Mechanism, and Paradigm

Traditional vector RAG retrieves by embedding the question and finding semantically similar chunks, often augmented with lexical search, filtering, or reranking. This approach work...

Read source

dzone.com /1 week ago

3D Air Quality Maps With Neo4j, Python, and R

Air quality across the Pyrenees corridor is a pressing concern, particularly during summer heatwaves and wildfire seasons. In this region, cities on both sides of the French-Spanis...

Read source

dzone.com /3 weeks ago

Real-Time Supply Chain Event Streaming With Kafka and Neo4j

In a previous article, we built a static supply chain graph in Neo4j using Apache Spark, with suppliers, warehouses, distribution centers, and retailers connected by shipping route...

Read source

dzone.com /3 weeks ago

Benchmark LangGraph, Strands, OpenAI Agents, and Google ADK on the Same Agent Graph

Agent framework debates are mostly vibes. One engineer swears LangGraph is faster, another prefers the OpenAI Agents SDK, someone wants Google ADK because it feels future-proof. Th...

Read source

venturebeat.com /1 month ago

Stop graphing everything: When GraphRAG actually beats vector RAG

If you have built anything with retrieval-augmented generation (RAG) in the last two years, you have lived its central frustration: You chop your documents into chunks, embed them,...

Read source

kdnuggets.com /1 month ago

Language Model Hallucination Evaluation with GraphEval

Turning the key principles and methodological stages of GraphEval into a simulated practical scenario to better understand its usefulness and key implications in understanding and...

Read source

bioengineer.org /5 days ago

Attributed hypergraphs capture structure and attributes realistically, beyond binary links

Group interactions are everywhere in the real world. Researchers co-author papers, shoppers buy products together, students hang out in clusters between classes, and users on quest...

Read source

kmworld.com /2 weeks ago

Oakley Capital invests in Graphwise to ground AI in trusted enterprise knowledge

The investment will accelerate the growth of the leading provider of AI knowledge platforms

Read source

ai.plainenglish.io /3 weeks ago

Your knowledge graph is inventing facts

A forty-year-old database problem has moved into RAG, and it walks straight through every guardrail you have.Continue reading on Artificial Intelligence in Plain English »

Read source

dzone.com /1 month ago

Building a Voice-Controlled Graph Assistant With Neo4j, LiveKit, and OpenAI

Natural language interfaces to databases have become increasingly practical, but most examples stop at typed queries. In this article, we'll add a voice layer, allowing users to s...

Read source

cloud.google.com /1 month ago

How to Analyze and Govern Gemini Enterprise App Usage at Scale with BigQuery

Deploying the Gemini Enterprise app across an organization marks a transformative leap forward in workforce productivity, providing employees with an amazing, high-performance suit...

Read source

towardsdatascience.com /3 weeks ago

Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used

Adding more communication pathways between agents doesn’t necessarily improve multi-agent performance. In a controlled, reproducible experiment across 50 runs, recovery remained re...

Read source

Turn fresh research into a full content calendar

Use SocialBu to discover ideas, generate post drafts, and schedule them across your social channels.