Top Tweets for #GraphDataScience
Discover how #GraphDataScience with Neo4j reveals historical connections—like uncovering Hartmann Schedel as a potential owner of the mysterious Voynich Manuscript. Dive into the case study here: https://t.co/M8kXHpMBr4 #Neo4j #graphdatabase
Symmetry in Scientific Collaboration Networks: A Study Using Temporal #GraphDataScience and #Scientometrics
✏️ Breno Santana Santos et al.
🔗 https://t.co/V25PPkgCKT
Viewed: 2837; Cited: 5
#mdpisymmetry #machinelearning #graphembedding
@ufrnbr
@ufsoficial
@UPorto
@ComSciMath_Mdpi
Paper announcements:
1. #ICDE2026 Dazhuo Qiu, Haolai Che, Arijit Khan, and Yinghui Wu, "Interpreting Graph Inference w/ Skyline Explanations" #ICDE26. https://t.co/QJckgUNrbu
#GNNExplainers2.0, #ExplainableAI #GraphDataManagement #GraphDataScience
presented our works themed #GNNExplainers2.0 towards usable and data-driven explanations for AI models at the #Stanford Graph Learning workshop.
#ExplainableAI #ResponsibleAI #GraphMachineLearning #GraphDataScience
☺️Currently learning more about #graphdatascience and its #mathematics and its numerous usescases in real life for Social Network Analysis and much more : in my case Information Systems Urbanization
📖 "Dots and Lines" -"" - @Anthony_Bonato
🛒 https://t.co/sboEteEaGf
Traditional #KPIs stop at the past! Graph #DataScience predicts what's next. Smart insights. Deeper relationships. Real-time simulations. Discover what your data is really saying. Learn more: https://t.co/WD2IXMtoug
#AI #DataVisualization #GraphDataScience #MachineLearning
Your #data has a story. Are you listening? At 5.15, we use #AdvancedAnalytics and #GraphDataScience to uncover patterns, relationships, and opportunities others miss. Let’s turn your data into a competitive advantage.
👉https://t.co/dkkBS2oEFL
#DataScience #GraphAnalytics
Join Alison to explore how context-driven AI and dynamic governance are rewriting the rules of intelligent systems and why ethical innovation isn’t just a goal, but a necessity.
#GDAI2025 #ResponsibleAI #GraphDataScience #AIEthics #TechLeadership #DataGovernance #Neo4j
#GraphVisualizations uncover hidden patterns and relationships, making #data exploration intuitive and insightful. By integrating @Neo4j with Jupyter, you transform complex data into clear, actionable insights. #DataScience #DataAnalysis #GraphDataScience
https://t.co/L0Ucftqnaf
🎙️#GraphDataScience & #KnowledgeGraphs 🚀 This week, I dove into some refresher learning. 1️⃣ GDS library – updates since I last worked with it! 2️⃣ Building Knowledge Graphs – must-read, covers everything from concepts to technical details. 📚💡 #btt https://t.co/4JY38e7prc
📢If you like #dataviz #jupyter #graphdatascience #datascience and magic tricks, take a look at :
https://t.co/uKB114z414
#lovewhatyoudo #learnbydoing #dowhatyoulove
My latest article:
“Unleashing the Power of Data: Integrating Knowledge Graphs and Retrieval Augmented Generation with…” by Jason Kronemeyer #GraphDataScience #GraphML #Neo4j #JKnowledge https://t.co/rGomsEzlZl
🤓 Currently exploring some #Mathematics curiosity with some cool tools from @yworks #yfiles #jupyter
🪝Stay tuned for content and #data to be released next week
#learnbydoing #lovewhatyoudo #dowhatyoulove #graphdatascience #DataVisualization #datascience #creativemornings
📢 @neo4j agenda for #NODES24 is live 🥳
- ⏱️ 2' teaser about my speech : https://t.co/Owzz6sDrfe
- 📅 Agenda : https://t.co/lQxiMusCB0
👋 @duckdb @QuarkusIO @github 😘
#neo4j #genai #graphdatascience #ai #artificalintelligence #google #gcp #apigee #api #GitHub
For all who want to get started with #GraphDataScience, here's the ⭐ Graph Data Science For Dummies, Second Edition book! ⭐
Make better predictions with graph analytics!
Download for free here:
https://t.co/AkMg8J6nx1
#Neo4j #datascience
📢 Running #Kaggle demo below :
https://t.co/wlqoGTB26Z
#dataviz #DataScientist #jupyter #Python #graphdatascience
yFiles Graphs for #Jupyter is a perfect companion for #visualizing #KnowledgeGraphs in #GraphRAG. Simple pass #nodes and relationships and configure optionally, data-driven visual properties like color and size.
More details here: https://t.co/UngPJHMJTD
✨Catch the AWS-KGC #GraphRAG Workshop this JULY 11 during #AWSSummit New York!
💫Learn about explainable responses using knowledge graphs and #RAG. Limited spots—sign up below!
https://t.co/6C5ccBRlqO
#AWSKGC #knowledgegraphs #graphdatascience #NYCtech #GenerativeAI #GPT
👋 Hey @neo4j , is "clusters finding" implemented as #neo4J GDS #graphdatascience❔
https://t.co/Xb8T4xtdys
⚠️ Read more and register for the Early Access Program:
https://t.co/C02kFYLHtc
#SnowflakeSummi #Snowflake #Neo4j #graphdatascience #GenAI #ML
@shasbe @SnowflakeDB
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