#graphdatabases Suchergebnisse
Introducing the ArangoDB NetworkX Persistence Layer Massive graphs? No problem. ArangoDB scales to handle big data that would overwhelm NetworkX. Learn More :- okt.to/Xo5nGp #GraphDatabases #AI

Mark your calendars for June 1st and join us at the Data and Gen AI Nexus event! Ashok Vishwakarma, CTO at Impulsive Web, will discuss "Leveraging Graph Databases for Modern Data Challenges." #DataScience #GraphDatabases #GDGNoida

Neural #GraphDatabases @Michael_Galkin et.al. share what they call a new milestone in graph data management Thesis: neural reasoning maintains high expressiveness, supports complex logical queries like standard graph query languages towardsdatascience.com/neural-graph-d…

New Neo4j Infinigraph architecture "uses sharding to distribute graph’s property data across different members of a cluster. The graph stays logically whole, and applications scale without code changes or manual workarounds. "neo4j.com/press-releases… #graphdatabases

In graph databases, elevating similarity search is vital. A multi-layered indexing approach enhances efficiency by navigating diverse data relationships. Each layer serves as a strategic lens, enabling rapid identification of analogous structures. #GraphDatabases #Indexing




"We're pushing the absolute limits of what can be done with hardware." –Christos Giotis In this week's Knowledge Bite video, Christos Giotis from @EdinburghUni shares his work on Atlas, a hardware engine for graph databases. Watch below! #KnowledgeGraphs #graphdatabases
"Working with #graphdatabases has been a game-changer, and Neo4j continues to impress with its power and flexibility." - Nivedita Singh, Neo4j Data Engineer Join the 22,000+ certified devs proving their graph skills! Check out the free online course here👉…

"I'm excited about the potential for semantic agents who are able inject semantics into graph operations." –David Hughes In this week's Knowledge Bite video, David Hughes from @EKConsulting shares his thoughts on #semantics, agentic #AI, #graphdatabases, and more. Watch below!
Introducing the ArangoDB NetworkX Persistence Layer Massive graphs? No problem. ArangoDB scales to handle big data that would overwhelm NetworkX. Learn More :- okt.to/HctPdQ #GraphDatabases #AI

"Leveraging Graph Databases for Fraud Detection in Financial Systems," by Alex Williams, says #GraphDatabases offer a more effective approach than traditional tools to identifying fraudulent financial activities. bit.ly/3ZPeLv7

Melbourne Graph DB fans! @DataEngBytes & GraphDB MelMeetup (@neo4j) (May) is ON! ➡️Know how Graph enhances Large Language Models? ➡️Network with fellow enthusiasts! 5:30 PM at Inspire9, Richmond. RSVP: meetup.com/graphdb-melbou… #GraphDatabases #Melbourne #DataEngBytes #Meetup

Introducing Perspectives 13.3: New Kuzu database integration with Guest Speaker Semih Salihoğlu, CEO of Kuzu' is now available on YouTube. See it here: bit.ly/3U0iBgT #Kuzu #graphdatabases #graphvisualization #graphtechnology

New graph algorithm just dropped, public endpoints in #AWS Neptune, and more graph database news in this week's Weekly Edge via @gdotv_ltd: gdotv.com/blog/weekly-ed… #graphdatabases #graphanalytics

The Weekly Edge: #GraphFrames, #Kuzu News-u, Hail Hydra, & More [8 August 2025] by @bwmerkl @gdotv_ltd Catch this 🔥weekly roundup of graph tech news every Friday:gdotv.com/blog/weekly-ed… #graphdatabases #Neo4j #knowledgegraphs
We are at #ConnectedData in London talking about #GraphRAG and #graphdatabases. Meet us! @Connected_Data

We are excited to partner with #NODES2023, #Neo4j's ONLINE developer conference! On October 26, join us for 24 hours of free live talks. Don't miss out, sign up today! bit.ly/N23-PG #graphdatabases #graphs #datascience #ML #AI #NODES2023

🚀 Excited to share our latest research: The Hybrid Multimodal Graph Index (HMGI)! How can we fuse semantic similarity with relational queries over multimodal data? Let’s explore. 👉 arxiv.org/abs/2510.10123 #GraphDatabases #VectorSearch #MultimodalAI

Benchmark Battle: ArangoDB vs. Neo4j 💡 Discover how ArangoDB's Graph Analytics Engine (GAE) delivers up to 8x faster performance on graph computation tasks compared to Neo4j! 🔍 Read the full blog - okt.to/lZDBCq #GraphDatabases #Neo4j #DataScience #BenchmarkResults
🚀 Excited to share our latest research: The Hybrid Multimodal Graph Index (HMGI)! How can we fuse semantic similarity with relational queries over multimodal data? Let’s explore. 👉 arxiv.org/abs/2510.10123 #GraphDatabases #VectorSearch #MultimodalAI

🚀🧠 Big news from @markrussinovich: Drasi now supports GQL—bringing the first new international DB language since SQL into continuous queries + change-driven systems. 👉 opensource.microsoft.com/blog/2025/10/0… #Drasi #GQL #GraphDatabases #OpenSource #Azure opensource.microsoft.com
The Weekly Edge is your fyp of videos, reads, repos, and more from across the graph technology ecosystem in the past seven-ish days: gdotv.com/blog/weekly-ed… #graphdatabases #Neo4j #GQL
GQL, the new standard query language for #graphdatabases deserves a reference book! amazon.com/Getting-Starte… #graphdatabase #graphanalytics #neo4j #gql #ultipa #google #microsoft @Ultipa_Graph

Mark your calendars for June 1st and join us at the Data and Gen AI Nexus event! Ashok Vishwakarma, CTO at Impulsive Web, will discuss "Leveraging Graph Databases for Modern Data Challenges." #DataScience #GraphDatabases #GDGNoida

In graph databases, elevating similarity search is vital. A multi-layered indexing approach enhances efficiency by navigating diverse data relationships. Each layer serves as a strategic lens, enabling rapid identification of analogous structures. #GraphDatabases #Indexing




Introducing the ArangoDB NetworkX Persistence Layer Massive graphs? No problem. ArangoDB scales to handle big data that would overwhelm NetworkX. Learn More :- okt.to/Xo5nGp #GraphDatabases #AI

Melbourne Graph DB fans! @DataEngBytes & GraphDB MelMeetup (@neo4j) (May) is ON! ➡️Know how Graph enhances Large Language Models? ➡️Network with fellow enthusiasts! 5:30 PM at Inspire9, Richmond. RSVP: meetup.com/graphdb-melbou… #GraphDatabases #Melbourne #DataEngBytes #Meetup

We are at #ConnectedData in London talking about #GraphRAG and #graphdatabases. Meet us! @Connected_Data

New Neo4j Infinigraph architecture "uses sharding to distribute graph’s property data across different members of a cluster. The graph stays logically whole, and applications scale without code changes or manual workarounds. "neo4j.com/press-releases… #graphdatabases

Revolutionizing real-time fraud detection with graph-based AI by Jessica Feng Learn more: hypermode.com/blog/real-time… #frauddetection #AI #graphdatabases

"Working with #graphdatabases has been a game-changer, and Neo4j continues to impress with its power and flexibility." - Nivedita Singh, Neo4j Data Engineer Join the 22,000+ certified devs proving their graph skills! Check out the free online course here👉…

Introducing the ArangoDB NetworkX Persistence Layer Massive graphs? No problem. ArangoDB scales to handle big data that would overwhelm NetworkX. Learn More :- okt.to/HctPdQ #GraphDatabases #AI

Looking for scalable, fast, and flexible data modeling? #GraphDatabases like #Neo4j & query language #Cypher offer a great solution! From relationship-rich data to complex queries, their intuitive graph-based approach enables efficient data management and analysis. #BigData



Who uses Neo4j to uncover hidden relationships and patterns? Top 20 US banks, 5 of 5 top Pharmaceuticals, and many many more Fortune 100 companies. 🤩 @emileifrem at #GraphSummit2024 #graphdatabases

We are excited to partner with #NODES2023, #Neo4j's ONLINE developer conference! On October 26, join us for 24 hours of free live talks. Don't miss out, sign up today! bit.ly/N23-PG #graphdatabases #graphs #datascience #ML #AI #NODES2023

What do fraud detection, supply chain optimization, and real-time recommendations have in common? Pattern matching. Learn how #Cypher + #GraphDatabases make it faster and easier to spot what matters in your data. 👉 bit.ly/45JeXiH #Neo4j #PatternMatching #GenAI

Neural #GraphDatabases @Michael_Galkin et.al. share what they call a new milestone in graph data management Thesis: neural reasoning maintains high expressiveness, supports complex logical queries like standard graph query languages towardsdatascience.com/neural-graph-d…

Struggling to catch complex fraud patterns with traditional tools? #GraphDatabases can help you spot hidden connections, reduce false positives, and strengthen your AWS-native solutions. Grab our free ebook for more info: bit.ly/4lkt0zD @awscloud #Neo4j…

Join us Feb 29, 1PM EST for a panel on Leveraging Graph Databases for Real-time #FraudDetection. Learn techniques to combat fraud, the application of graph data, & how to visualize patterns for real-time detection: ecs.page.link/SSn3Z #Aerospike #GraphDatabases #RealTimeData

Weekly Blog Roundup from Wednesday: Announcing #Dgraph support for @Google's Gen AI Toolbox for Databases Read more: buff.ly/3WXwsGN #GenAI #graphdatabases #googlecloud

Announcing #Dgraph support for @GoogleCloud's Gen AI Toolbox for Databases by @Shiva_Kharse Read more: buff.ly/3WXwsGN #GenAI #graphdatabases #knowledgegraph

Announcing #Dgraph support for @Google's Gen AI Toolbox for Databases Read more: buff.ly/3WXwsGN #GenAI #graphdatabases #knowledgegraph

Announcing @DgraphLabs support for @Google's Gen AI Toolbox for Databases Read more: buff.ly/3WXwsGN #Dgraph #GenAI #graphdatabases

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