Top Tweets for #GraphAnalytics
Leveraging #NebulaGraph Enterprise, Envision has constructed a "Whole Grid Graph," a unified, intelligible network. ๐ธ๏ธNebulaGraph's "storage-compute integration" architecture is key to achieving ultra-real-time analytics. ๐ https://t.co/QaB9UdEQc2
#GraphAnalytics #KnowledgeGraph
Philosophers in DBpedia by PageRank i.e., most referenced by relations (edges) in the knowledge graph.
https://t.co/Fo2tGLCxSc
#DBpedia #GraphAnalytics #GraphDatabase #KnowledgeGraph #VirtuosoRDBMS #SPARQL

Here's a collection live examples using DBpedia.
https://t.co/DGIqRlEpag
#DBpedia #GraphAnalytics #KnowledgeGraph #SPARQL #GQL #LinkedData #VirtuosoRDBMS

Here's a link to a detailed post, including live examples re Virtuoso's native Graph Analytics capabilities.
https://t.co/1vIpNQWX7S
Here's a basic SPARQL query link demonstrating basic PageRank.
https://t.co/yUp6Qanrjj
#VirtuosoRDBMS #SPARQL #KnowledgeGraph #GraphAnalytics

Standard #algorithms provide a great starting point, but they almost never map perfectly to a specific business problem. A truly production-ready #GraphAnalytics product must empower its users to own their algorithms entirely, from concept to execution.
๐ https://t.co/hup4PPIJFY
Postgres lacks a simple graph extension? I built pg_petgraph with Rust.
No Cypher, no external DBโ10 graph algorithms via plain SQL functions (PageRank, Louvain, SCC, Dijkstra). Pass two bigint[] arrays, get a table!
๐ https://t.co/DYXFOtfi4O
#PostgreSQL #Rust #GraphAnalytics
Real-time graph processingย supports operational applications and low-latency queries, while scalable #GraphAnalyticsย supports deep computation, machine learning, and AI-driven analysis. #NebulaGraph Analytics is designed to provide the second layer.
๐ https://t.co/39gTMDqZO6
#AI
Thrilled to be named @NJIT's 2026 Excellence in Research Prize and Medal recipient. Huge thanks to the students, postdocs, and collaborators who made this work possible. #HPC #GraphAnalytics #DataScience @NJITYingWu
https://t.co/MJCJ8EEAdg

Modern financial institutions need a complete graph intelligence foundation that can help them discover relationships, perform large-scale analytics, and power AI-driven decision-making. #NebulaGraph is designed for that.๐ https://t.co/2PqTDoLc6f
#AI #Fintech #GraphAnalytics #KG
LUMA Quant is on Kaggle! ๐
New dataset: Privacy-Safe Synthetic Telemetry Graphs.
๐ 42 Nodes
๐ 168 Edges
โฑ๏ธ 12 Snapshots
Includes full EDA notebook. Purely synthetic & stochastic. ๐
https://t.co/AS3teOMo5Q
#SyntheticData #GraphAnalytics
@kaggle
๐ต๏ธ๐ธ๏ธ๐ kipi | Informe โ grafo investigado autรณnomo
Drop PDF o notas. Extrae entidades. Agente pivotea WHOIS/DNS/certs y construye el grafo en vivo con centralidad, comunidades y pathfinding. Evidencia graduada. Tรบ mandas.
#OSINT #ThreatIntel #CyberSec #GraphAnalytics

Billion-scale relationships shouldn't mean billion-dollar compute costs.๐ธ #NebulaGraph Analytics delivers 5-10x faster processing and consumes 80% less resources than traditional engines.๐
๐ Turn connections into intelligence instantly:
https://t.co/7pDxuUCMAg
#GraphAnalytics
Great day at North East AI Agents Day at @JaneStreet NYC. Honored to give a talk on "Agentic Exploration of Large-Scale Graphs with Arkouda and Arachne." Thanks to the organizers for convening such a sharp crowd. #AIAgents #HPC #GraphAnalytics #LLM
https://t.co/NO7oIse0NF

Algorithms on Trees and Graphs (with Python Code): https://t.co/GHahR5Ryxz
โโโโโโ
#AI #MachineLearning #DataScience #ML #LinkedData #GraphDB #GraphAnalytics #KnowledgeGraphs #RAG #LLMs #DataScientist

Algorithms on Trees and Graphs (with Python Code): https://t.co/GHahR5Ryxz
โโโโโโ
#AI #MachineLearning #DataScience #ML #LinkedData #GraphDB #GraphAnalytics #KnowledgeGraphs #RAG #LLMs #DataScientist

Graph Analytics uncovers hidden relationships in complex data using nodes and links, enabling smarter decisions in fraud detection, networks, and recommendation systems.
#GraphAnalytics #BigData #AI #DataScience #NetworkAnalysis
https://t.co/UW5kO3UcJr
#Algorithms on Trees and Graphs (with #Python Code): https://t.co/GHahR5S6n7
โโโโโโ
#AI #MachineLearning #DataScience #ML #RDF #LinkedData #GraphDB #GraphAnalytics #Semantic #KnowledgeGraphs #RAG #LLMs #DataScientist

#Algorithms on Trees and Graphs (with #Python Code): https://t.co/GHahR5S6n7
โโโโโโ
#AI #MachineLearning #DataScience #ML #RDF #LinkedData #GraphDB #GraphAnalytics #Semantic #KnowledgeGraphs #RAG #LLMs #DataScientist

#Algorithms on Trees and Graphs (with #Python Code): https://t.co/GHahR5Ryxz
โโโโโโ
#AI #MachineLearning #DataScience #ML #RDF #LinkedData #GraphDB #GraphAnalytics #Semantic #KnowledgeGraphs #RAG #LLMs #DataScientist

Complex Network Analysis in #Python โ Recognize โข Construct โข Visualize โข Analyze โข Interpret: https://t.co/7sJx1GkP5k
โโโโโโ
#DataScientist #DataScience #AI #Semantic #MachineLearning #LinkedData #GraphDB #GraphAnalytics #NetworkScience #DataStorytelling

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