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#graphdatabases 搜索结果

neo4j's profile picture. Leader in Graph Database & Analytics. Developers: https://t.co/XrnpLCVglr. Our community: https://t.co/mWzXAcVzve Same handle on all other platforms.
Neo4j
@neo4j
年9月4日

Neo4j looking good in Times Square! 🌟 ✨ #GraphDatabases @emileifrem

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KGConference's profile picture. KGC brings together leaders across industry and research defining the future of knowledge graphs, LLMs, and AI.
The Knowledge Graph Conference (KGC)
 @KGConference
年8月27日

"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

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satyamknavneet's profile picture. Top 13% on @LeetCode | GoogleCloud Arcade Facilitator @GoogleCloud_IN
Satyam Kumar Navneet
 @satyamknavneet
年10月14日

🚀 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

satyamknavneet's tweet image. 🚀 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
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bronzeagecto's profile picture. Join hundreds of Graph Technology Developers obsessed with knowledge graphs, graph databases, and graph neural networks: https://t.co/vxKrmgUpxK Grok: High-signal
BRONZiE · Knowledge Graphs, Graph Databases & GNNs
@bronzeagecto
12 小时

Neat strategy for creating Graph Databases dynamically for a hybrid agent memory system with @Cloudflare #GraphDatabases

boristane's profile picture. building workers observability @cloudflaredev, prev founder @baselimehq (acquired by cloudflare), prev aerodynamicist
boris tane
@boristane
23 小时

agent memory works best when you combine vector search, full-text search, and graph traversal but who wants to maintain a multi-tenant graph database? not me so I built a system to create unlimited on-demand graph databases with @cloudflaredev durable objects

boristane's tweet image. agent memory works best when you combine vector search, full-text search, and graph traversal but who wants to maintain a multi-tenant graph database? not me so I built a system to create unlimited on-demand graph databases with @cloudflaredev durable objects
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gdg_noida's profile picture. Official Twitter Handle of GDG Noida Visit us on Commudle with the link below for a chance to attend our events.
GDG Noida
 @gdg_noida
2024年5月30日

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

gdg_noida's tweet image. 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
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KGConference's profile picture. KGC brings together leaders across industry and research defining the future of knowledge graphs, LLMs, and AI.
The Knowledge Graph Conference (KGC)
 @KGConference
年9月4日

"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!

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PyGhana's profile picture. Our mission is to equip and empower society through technology, with Python and other related technologies. #PythonGhana #PyConGhana
Python Ghana
 @PyGhana
2023年10月9日

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

PyGhana's tweet image. 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
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JordanJamesEtem's profile picture. UNITED Vision
Jordan James Etem
@JordanJamesEtem
2023年12月28日

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

JordanJamesEtem's tweet image. 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
JordanJamesEtem's tweet image. 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
JordanJamesEtem's tweet image. 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
JordanJamesEtem's tweet image. 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
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neo4j's profile picture. Leader in Graph Database & Analytics. Developers: https://t.co/XrnpLCVglr. Our community: https://t.co/mWzXAcVzve Same handle on all other platforms.
Neo4j
@neo4j
年12月12日

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

neo4j's tweet image. We are at #ConnectedData in London talking about #GraphRAG and #graphdatabases. Meet us! @Connected_Data
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WhiteboardSell's profile picture. Chief Marketing Officer at @arangodb. Lover of all things #GraphDB #GraphDatabases #GraphRAG #KnowledgeGraph #DatasScience - Author of WhiteboardSelling
Corey Sommers
 @WhiteboardSell
2024年8月31日

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

WhiteboardSell's tweet image. 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
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TheYotg's profile picture. Keeping track of all things Graph Year over Year Graph #Analytics #AI #GraphDB #KnowledgeGraphs Newsletter, Report, Resources, News By @linked_do
The Year of the Graph
 @TheYotg
2023年3月29日

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…

TheYotg's tweet image. 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…
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arangodb's profile picture. The Most Complete and Scalable Graph Database for Real-world Use Cases.
ArangoDB
@arangodb
年12月10日

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

arangodb's tweet card. ArangoDB outperforms Neo4j with up to 8x faster benchmark results, highlighting its efficiency and scalability for graph database use cases.
Benchmark Results - ArangoDB vs. Neo4j : ArangoDB up to 8x faster than Neo4j
来源: arangodb.com
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neo4j's profile picture. Leader in Graph Database & Analytics. Developers: https://t.co/XrnpLCVglr. Our community: https://t.co/mWzXAcVzve Same handle on all other platforms.
Neo4j
@neo4j
年6月24日

"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👉…

neo4j's tweet image. "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👉…
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fceller's profile picture. Developer & entrepreneur from Cologne, organizing the Nosql UG Cologne. Currently totally hooked by developing ArangoDB.
Frank Celler
 @fceller
2024年9月2日

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

fceller's tweet image. 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
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siddontang's profile picture. VP of engineering at PingCAP, building the future of databases. Author of TiDB, TiKV, Chao Mesh, go-mysql.
siddontang
 @siddontang
年12月9日

📚 How did #Pinterest achieve 10x lower latency & 50% cost savings by modernizing its graph service? 🚀 They migrated from Zen to PinGraph, powered by TiDB's #DistributedSQL. Read how they did it 👉 hubs.ly/Q02-XfXf0 #GraphDatabases #TiDB #DSQL

siddontang's tweet image. 📚 How did #Pinterest achieve 10x lower latency & 50% cost savings by modernizing its graph service? 🚀 They migrated from Zen to PinGraph, powered by TiDB's #DistributedSQL. Read how they did it 👉 hubs.ly/Q02-XfXf0 #GraphDatabases #TiDB #DSQL
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bwmerkl's profile picture. #ScienceFiction writer | friend of #Myanmar | @LASALLESG alum | Wizard (citation needed)
Bryce W. Merkl Sasaki
 @bwmerkl
年9月5日

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

bwmerkl's tweet image. 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
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bronzeagecto's profile picture. Join hundreds of Graph Technology Developers obsessed with knowledge graphs, graph databases, and graph neural networks: https://t.co/vxKrmgUpxK Grok: High-signal
BRONZiE · Knowledge Graphs, Graph Databases & GNNs
@bronzeagecto
12 小时

Neat strategy for creating Graph Databases dynamically for a hybrid agent memory system with @Cloudflare #GraphDatabases

boristane's profile picture. building workers observability @cloudflaredev, prev founder @baselimehq (acquired by cloudflare), prev aerodynamicist
boris tane
@boristane
23 小时

agent memory works best when you combine vector search, full-text search, and graph traversal but who wants to maintain a multi-tenant graph database? not me so I built a system to create unlimited on-demand graph databases with @cloudflaredev durable objects

boristane's tweet image. agent memory works best when you combine vector search, full-text search, and graph traversal but who wants to maintain a multi-tenant graph database? not me so I built a system to create unlimited on-demand graph databases with @cloudflaredev durable objects
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MensahAlkebuLan's profile picture. Founder and Tech Lead at @uequations. All opinions are my own. Second generation @VSU_1882 graduate. #HBCUMade
Mensah Alkebu-Lan
 @MensahAlkebuLan
年10月18日

𝗜𝗕𝗠 𝗗𝗮𝘁𝗮𝗦𝘁𝗮𝘅 𝗚𝗿𝗮𝗽𝗵-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗘𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 in NYC Smarter inventory & real-time demand forecasting. What’s your biggest inventory challenge? @uequations | #NYCTech #GraphDatabases #EcommerceForecasting #UniversalEquations

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MensahAlkebuLan's profile picture. Founder and Tech Lead at @uequations. All opinions are my own. Second generation @VSU_1882 graduate. #HBCUMade
Mensah Alkebu-Lan
 @MensahAlkebuLan
年10月18日

𝗜𝗕𝗠 𝗗𝗮𝘁𝗮𝗦𝘁𝗮𝘅 𝗚𝗿𝗮𝗽𝗵-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗘𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 in NYC Smarter inventory, real-time demand forecasting & graph indexing best practices. What’s your biggest inventory challenge? @uequations | #NYCTech #GraphDatabases #EcommerceForecasting #UniversalEquations

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NebulaGraph's profile picture. NebulaGraph is an #opensource distributed #Graphdatabase with high throughput and low latency for super large scale datasets Slack: https://t.co/wydFwOhXRc
NebulaGraph
 @NebulaGraph
年10月16日

One factory shuts down. Whole #supplychain freezes. ❄️ #Graphdatabases map the entire network — suppliers, parts, logistics — and show you the hidden risks before they blow up.🔍 Turn supply chain chaos into control. 🚀 👇 na2.hubs.ly/H01xm910 #NebulaGraph #RiskManagement

NebulaGraph's tweet card. Graph databases are great for managing complex connected data in big factory supply chain management. This blog post introduces how graph databases empowers supply chain management to be efficient.
How Graph Databases Drive Efficiency in Supply Chain Management
来源: nebula-graph.io
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satyamknavneet's profile picture. Top 13% on @LeetCode | GoogleCloud Arcade Facilitator @GoogleCloud_IN
Satyam Kumar Navneet
 @satyamknavneet
年10月14日

🚀 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

satyamknavneet's tweet image. 🚀 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
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bbenz's profile picture. AI advocate for @Microsoft @Azure. Proud to be a @Java_Champions. Also at bbenz@mastodon.social
Brian Benz
 @bbenz
年10月10日

🚀🧠 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

bbenz's tweet card. Drasi’s first year brings GQL support and community growth, empowering developers to build event-driven apps. Learn more.
Drasi at one year: now with GQL for change-driven solutions
来源: opensource.microsoft.com
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gdotv_ltd's profile picture. Analyse, Visualize, Query and Debug your @awscloud Neptune, @azurecosmosdb, @aerospike Graph and other @apachetinkerpop powered DBs. Start for free! #graphdb
G.V() - Graph Database Client
 @gdotv_ltd
年10月10日

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

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gdotv_ltd's profile picture. Analyse, Visualize, Query and Debug your @awscloud Neptune, @azurecosmosdb, @aerospike Graph and other @apachetinkerpop powered DBs. Start for free! #graphdb
G.V() - Graph Database Client
 @gdotv_ltd
年10月3日

The Weekly Edge: @msftsecurity launches Sentinel graph, columnar graph databases, a classic Euler proof video from @3blue1brown & more [3 October 2025] Catch up with this week's graph tl;dr: eu1.hubs.ly/H0nycKq0 #cybersecurity #graphdatabases #graphtheory

gdotv_ltd's tweet image. The Weekly Edge: @msftsecurity launches Sentinel graph, columnar graph databases, a classic Euler proof video from @3blue1brown & more [3 October 2025] Catch up with this week's graph tl;dr: eu1.hubs.ly/H0nycKq0 #cybersecurity #graphdatabases #graphtheory
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gdotv_ltd's profile picture. Analyse, Visualize, Query and Debug your @awscloud Neptune, @azurecosmosdb, @aerospike Graph and other @apachetinkerpop powered DBs. Start for free! #graphdb
G.V() - Graph Database Client
 @gdotv_ltd
年9月26日

The Weekly Edge: The @GraphCouncil Has Spoken, @memgraphdb 3.5 Arrives, Preventing #FinCrime & More // by @bwmerkl @gdotv_ltd This week’s graph tech tl;dr: gdotv.com/blog/weekly-ed… #graphdatabases #Neo4j #Kuzu #GraphViz

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gdotv_ltd's profile picture. Analyse, Visualize, Query and Debug your @awscloud Neptune, @azurecosmosdb, @aerospike Graph and other @apachetinkerpop powered DBs. Start for free! #graphdb
G.V() - Graph Database Client
 @gdotv_ltd
年9月19日

The Weekly Edge: @MicrosoftFabCon announces Graphs in Fabric, catch us (and many others) at @DataDayTexas & More by @bwmerkl @gdotv_ltd Dive into this week’s graph tech tl;dr here: gdotv.com/blog/weekly-ed… #graphanalytics #edtech #graphdatabases

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gdotv_ltd's profile picture. Analyse, Visualize, Query and Debug your @awscloud Neptune, @azurecosmosdb, @aerospike Graph and other @apachetinkerpop powered DBs. Start for free! #graphdb
G.V() - Graph Database Client
 @gdotv_ltd
年9月12日

The Weekly Edge: The Weekly Edge: @Neo4j Infinigraph, #GQL on Azure Data Explorer, #GraphRAG at @TencentGlobal & More [12 September 2025] by @bwmerkl @gdotv_ltd Dive into the best graph tech news digest on the internet: gdotv.com/blog/weekly-ed… #graphdatabases #GQL #Neo4j

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bwmerkl's profile picture. #ScienceFiction writer | friend of #Myanmar | @LASALLESG alum | Wizard (citation needed)
Bryce W. Merkl Sasaki
 @bwmerkl
年9月5日

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

bwmerkl's tweet image. 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
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gdotv_ltd's profile picture. Analyse, Visualize, Query and Debug your @awscloud Neptune, @azurecosmosdb, @aerospike Graph and other @apachetinkerpop powered DBs. Start for free! #graphdb
G.V() - Graph Database Client
 @gdotv_ltd
年9月5日

The Weekly Edge: Public Endpoints in @awscloud Neptune, Agentic #GraphRAG, New Graph Algorithm & More [5 September 2025] by @bwmerkl @gdotv_ltd Dive into this week’s graph tech news mixtape: gdotv.com/blog/weekly-ed… #graphdatabases #graphanalytics #neo4j

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