GraphGeeks’ Post

If you couldn't join us live for our special event with George Anadiotis, the expert behind The Year of the Graph, we've got great news: the recording is now available! 🎥✨ Whether you missed it live or want to revisit the discussions, this is your chance to dive deep into the latest news and trends in all things Knowledge Graph, Graph Analytics / AI / Data Science and Databases. George shared valuable insights, practical tips, and answered some great questions that you won't want to miss. Share this with your network and let us know your thoughts in the comments. We love hearing your feedback! #Webinar #GraphTechnology #KnowledgeGraphs #GraphAI #IndustryInsights #GraphTech #ProfessionalGrowth #IndustryTrends https://lnkd.in/gWsgtbyr

An inside view of the latest Year of the Graph newsletter issue, with extra insights and a live Q&A #KnowledgeGraphs #AI #DataScience #GraphDB #SemTech #Analysis #Technology #Market

We are soon closing the program for the upcoming Semantics@Roche 2024 - Connecting the Data Dots. Looking very much forward to exchanging with likely-minded professionals and learning about how the life sciences industry is navigating the intricate relationship between proper data governance and interoperability and the new capabilities brought by AI and LLMs. The final program agenda will soon be available on the event website but you can already have a sneak peek into this year’s invited keynote speakers, panel discussion, World café topics and different tutorial sessions: https://shorturl.at/rBHK7.   P.S. The submission window for posters and demos is closing soon, if you haven’t done so already, please send your short abstract to [email protected] no later than 19th April 2024. Martin Romacker, Dr., Javier David Fernández García Laurent-Philippe Albou, Rama Balakrishnan ,Sara Tanenbaum, Andreas Thalhammer, Michal Pietrusinski, Solène Rieu, Ramon Bosshard Maria Isabel Postigo Hernandez #Semantics #FAIR #LinkedData #knowledgegraphs #ontologies #datagovernance #interoperability #FAIR #LLMs #explainableAI #RAG #SHACL #SPARQL

Embarking on a journey into Chi-Square feature selection: A Step-by-Step Guide with Mathematical Insights. 📊✨ #ChiSquare #FeatureSelection #MathematicalInsights #DataScience

I enjoyed Amy Hodler's GraphGeeks talk today, "Patterns of Power: Uncovering Control Points to Influence Outcomes." I won't give away any of the major points (definitely give this talk a listen directly), but I really liked how she made it very practical in terms of not just understanding graph structures but also how you can actually use them to take action. The fact that the talk focuses on power dynamics only makes it even more relevant for all of us. 🤗 Some interesting pieces of information to consider: - With graphs, you can infer meaning with structure. - Centrality is used for finding influential entities and understanding the power dynamics. - There are many centrality algorithms, which tells me that power is complicated, but well-studied. Knowledge is power. - You have the choice to use your powers for good (e.g. building community for voting, encouraging equal opportunity in the workplace, trade, etc.)...or not 🤔 Thanks for spending the time to do this for the community, Amy Hodler and Dennis Irorere, and to everyone who joined! This talk has something for everyone from a graph newbie to a graph guru. (screenshot from one of Amy's GraphGeeks slides today during the webinar - and why everyone should care about network science!) 🔗 GraphGeeks site with Discord: https://lnkd.in/gzwVcjzG #networkscience #graphanalytics #centrality #datascience

When you know, you know. Leveraging the Neo4j Label Property Graph and RAG in a feedback loop to avoid naive results from using just RAG. Check out David Fauth and Alexander Fournier's insightful presentation at a MinneAnalytics conference. #Neo4j #KnowledgeGraphs #GraphDB #GenAi

🚀 𝐃𝐚𝐲 𝟏𝟏 𝐨𝐟 𝐦𝐲 𝟏𝟎𝟎 𝐃𝐚𝐲𝐬 𝐃𝐒𝐀 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: 𝐕𝐞𝐧𝐭𝐮𝐫𝐢𝐧𝐠 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐖𝐨𝐫𝐥𝐝 𝐨𝐟 𝐆𝐫𝐚𝐩𝐡𝐬! 🌐 Today, I embarked on a fascinating exploration of graph data structures, unlocking a realm of endless possibilities and connections. 🔍 ✨ 𝐆𝐫𝐚𝐩𝐡 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: 🔹 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐆𝐫𝐚𝐩𝐡?:A versatile data structure consisting of nodes (vertices) and edges that represent relationships. 🔹 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐆𝐫𝐚𝐩𝐡𝐬:Directed and undirected, weighted and unweighted, cyclic and acyclic. 🔹 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐏𝐨𝐢𝐧𝐭𝐬 𝐀𝐛𝐨𝐮𝐭 𝐆𝐫𝐚𝐩𝐡𝐬: -Graphs capture complex relationships found in real-world scenarios. -They are used in various domains, including social networks, transportation systems, and computer networks. -Graph algorithms play a vital role in solving problems like shortest path, connectivity, and network flow. 💡 Today's journey unveiled the power and versatility of graphs, setting the stage for tomorrow's dive into graph representation and implementation! My learning collaborator:Veda Samhith Manthena Used resource:https://lnkd.in/gMGye5z2 Access my Day-11 notes here:https://lnkd.in/gYYUM6vM "𝐓𝐢𝐦𝐞 𝐢𝐬 𝐰𝐡𝐚𝐭 𝐰𝐞 𝐰𝐚𝐧𝐭 𝐦𝐨𝐬𝐭, 𝐛𝐮𝐭 𝐰𝐡𝐚𝐭 𝐰𝐞 𝐮𝐬𝐞 𝐰𝐨𝐫𝐬𝐭."- William Penn #DSA #Graphs #DataStructures #100DaysChallenge #LearningJourney #Algorithm #Connections 🌟

🚀 Day 58 of #180DaysofDataScience 🚀 🔸 Statistics: Today's Adventure: 🔍 What I Explored: Binomial Distribution: --> A type of probability distribution that describes the number of successes in a fixed number of independent experiments, each with the same probability of success 📚 Key Takeaways: --> Useful for modelling the probability of getting a certain number of successes out of a fixed number of trials --> Key components: 1. n - Number of trials 2. p - Probability of success 3. k - Number of successes What's Next: 🔮 Upcoming Exploration: --> Tomorrow, I will continue with Data Distributions #DataScience #180DaysOfData #LearningJourney #TechExploration #DataScienceCommunity #StayCurious

We are excited about the fireside chat with Mingxi Wu and Hamid Azzawe. It's like getting a backstage pass to the future of graph databases! This isn't your typical tech talk – we're keeping it casual and accessible. Come hang out with us as we break down the ins and outs of graph technology. Save the date, grab a virtual seat, and let's chat about the tech that's making waves in 2024. #graphdatabase #database #graphs https://lnkd.in/gB_dPFYu