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Unlocking graph insights with Raphtory, an advanced in-memory graph tool designed to facilitate efficient exploration of evolving networks
Unlocking graph insights with Raphtory, an advanced in-memory graph tool designed to facilitate efficient exploration of evolving networks
Unlocking graph insights with Raphtory, an advanced in-memory graph tool designed to facilitate efficient exploration of evolving networks. 🔹 Scalability & Performance: Handles large-scale graph data seamlessly, enabling fast computations. 🔹 Temporal Analysis: Investigate how networks change over time, identifying trends and key shifts. 🔹 Multi-layer Modeling: Incorporate diverse data sources into a unified, structured framework for deeper insights. 🔹 Integration: Works easily with existing pipelines via **Python APIs**, ensuring a smooth workflow for professionals. #Graphs #GraphDB #NetworkAnalysis #TemporalData https://www.raphtory.com/
Unlocking graph insights with Raphtory, an advanced in-memory graph tool designed to facilitate efficient exploration of evolving networks
·linkedin.com·
Unlocking graph insights with Raphtory, an advanced in-memory graph tool designed to facilitate efficient exploration of evolving networks
Efficient Graph Storage for Entity Resolution Using Clique-Based Compression | Towards Data Science
Efficient Graph Storage for Entity Resolution Using Clique-Based Compression | Towards Data Science
Entity resolution systems face challenges with dense, interconnected graphs, and clique-based graph compression offers an efficient solution by reducing storage overhead and improving system performance during data deletion and reprocessing.
·towardsdatascience.com·
Efficient Graph Storage for Entity Resolution Using Clique-Based Compression | Towards Data Science
Graph algebra
Graph algebra
The best talk during RSA Conference in my mind is: Graphs and Algebras of Defense John Lambert Corporate Vice President, CISO Microsoft What differentiates industry visionary, and average people, is the capability to abstract the theory from practice. John came up with an elegant abstraction of graph “algebra” for cybersecurity defense, that resonates well with my PhD thesis on manifold leanring and graph embedding. The way the algebra operator on cybersecurity graphs is inspiring. I hope more innovations can be sparked by such elegant framework. Leo Meyerovich Alexander Morisse, PhD #GraphThePlanet | 13 comments on LinkedIn
·linkedin.com·
Graph algebra
visualize graphs inside Kùzu
visualize graphs inside Kùzu
📣 Byte #21: For those of you who want to visualize their graphs inside Jupyter notebooks - we have an exciting development! We recently released an integration with yWorks, who extended their yFiles Jupyter Graphs widget to support Kuzu databases! ✅ Once a Kuzu graph is created, we can instantiate the yFiles Jupyter KuzuGraphWidget, and use the `show_cypher` method to display a subgraph using regular Cypher queries. ✅ There are numerous custom layouts in the yFiles widget (tree, hierarchical, orthogonal, etc.). Give them a try! Here's an example of the tree layout, which is great for visualizing data like this that has rich tree structures. We can see the two-degree mentors of Christian Christiansen, a Nobel prize-winning laureate, in this example. ✅ You can customize the appearance of the nodes in the widget through `add_node_configuration` method. This way, you can display what you're looking for as you iterate through your graph building process. ✅ The Kuzu-yFiles integration is open source and you can begin using it right away for your own interactive visualizations. Give it a try and share around with fellow graph enthusiasts! pip install yfiles-jupyter-graphs-for-kuzu Docs page: https://lnkd.in/g97uSKRe GitHub repo: https://lnkd.in/gjA6ZjiF
·linkedin.com·
visualize graphs inside Kùzu
if you believe that LLMs need graphs to reason, you are right and now you have evidence: Claude answers questions by building and traversing a graph
if you believe that LLMs need graphs to reason, you are right and now you have evidence: Claude answers questions by building and traversing a graph
To all the knowledge graph enthusiasts who've felt for a while that "graphs are the way to go" when it comes to enabling "intelligence," it was interesting to read Anthropic's "Tracing the thoughts of a large language model" - if you believe that LLMs need graphs to reason, you are right and now you have evidence: Claude answers questions by building and traversing a graph (in latent space) before it translates it back to language: https://lnkd.in/eWFWwfN4 | 20 comments on LinkedIn
if you believe that LLMs need graphs to reason, you are right and now you have evidence: Claude answers questions by building and traversing a graph
·linkedin.com·
if you believe that LLMs need graphs to reason, you are right and now you have evidence: Claude answers questions by building and traversing a graph
Experience Google Cloud Next 25
Experience Google Cloud Next 25
Uncover data's hidden connections using graph analytics in BigQuery. This session shows how to use BigQuery's scalable infrastructure for graph analysis directly in your data warehouse. Identify patterns, connections, and influences for fraud detection, drug discovery, social network analysis, and recommendation engines. Join us to explore the latest innovations in graphs and see real-world examples. Transform your data into actionable insights with BigQuery's powerful graph capabilities.
·cloud.withgoogle.com·
Experience Google Cloud Next 25
What are the Different Types of Graphs? The Most Common Misconceptions and Understanding Their Applications - Enterprise Knowledge
What are the Different Types of Graphs? The Most Common Misconceptions and Understanding Their Applications - Enterprise Knowledge
Learn about different types of graphs and their applications in data management and AI, as well as common misconceptions, in this article by Lulit Tesfaye.
·enterprise-knowledge.com·
What are the Different Types of Graphs? The Most Common Misconceptions and Understanding Their Applications - Enterprise Knowledge
GitHub - apache/incubator-hugegraph: A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
GitHub - apache/incubator-hugegraph: A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends) - apache/incubator-hugegraph
·github.com·
GitHub - apache/incubator-hugegraph: A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
network analytics tools
network analytics tools
As I did my PhD in network and data science, graphs are really close to me. Now, if you would like to get a tast of why these fields are so exciting and…
network analytics tools
·linkedin.com·
network analytics tools
Causal discovery with panel data
Causal discovery with panel data
Causal discovery with panel data? Welcome tigramite Python package. (Note that I am still unsure about causal discovery applications.) I can't find who…
Causal discovery with panel data?
·linkedin.com·
Causal discovery with panel data
Data Object Graph (DOG), queryable, adaptable traversable hybrid data and execution graphs built for AI and traditional analytics use-cases in complex business processes
Data Object Graph (DOG), queryable, adaptable traversable hybrid data and execution graphs built for AI and traditional analytics use-cases in complex business processes
From DAGs to DOGs: Data Object Graph (DOG), queryable, adaptable traversable hybrid data and execution graphs built for AI and traditional analytics use-cases… | 59 comments on LinkedIn
Data Object Graph (DOG), queryable, adaptable traversable hybrid data and execution graphs built for AI and traditional analytics use-cases in complex business processes
·linkedin.com·
Data Object Graph (DOG), queryable, adaptable traversable hybrid data and execution graphs built for AI and traditional analytics use-cases in complex business processes
Graph theory
Graph theory
I work with graphs every day. This simple question left me speechless. During a meeting with a customer I started a sentence saying "In graph theory this… | 28 comments on LinkedIn
·linkedin.com·
Graph theory
graphgeeks-lab/awesome-graph-universe: A curated list of resources for graph-related topics, including graph databases, analytics and science
graphgeeks-lab/awesome-graph-universe: A curated list of resources for graph-related topics, including graph databases, analytics and science
A curated list of resources for graph-related topics, including graph databases, analytics and science - graphgeeks-lab/awesome-graph-universe
Awesome Graph Universe 🌐 Welcome to Awesome Graph Universe, a curated list of resources, tools, libraries, and applications for working with graphs and networks. This repository covers everything from Graph Databases and Knowledge Graphs to Graph Analytics, Graph Computing, and beyond. Graphs and networks are essential in fields like data science, knowledge representation, machine learning, and computational biology. Our goal is to provide a comprehensive resource that helps researchers, developers, and enthusiasts explore and utilize graph-based technologies. Feel free to contribute by submitting pull requests! 🚀
·github.com·
graphgeeks-lab/awesome-graph-universe: A curated list of resources for graph-related topics, including graph databases, analytics and science
Episode #212: Digging Into Graph Theory in Python With David Amos – The Real Python Podcast
Episode #212: Digging Into Graph Theory in Python With David Amos – The Real Python Podcast
Have you wondered about graph theory and how to start exploring it in Python? What resources and Python libraries can you use to experiment and learn more? This week on the show, former co-host David Amos returns to talk about what he's been up to and share his knowledge about graph theory in Python.
·realpython.com·
Episode #212: Digging Into Graph Theory in Python With David Amos – The Real Python Podcast
Interactive Network Graphs for Uncovering Complex Multicollinearity
Interactive Network Graphs for Uncovering Complex Multicollinearity
Interactive Network Graphs for Uncovering Complex Multicollinearity 🕸️ Visualize multicollinearity in large datasets with interactive network graphs using… | 18 comments on LinkedIn
Interactive Network Graphs for Uncovering Complex Multicollinearity
·linkedin.com·
Interactive Network Graphs for Uncovering Complex Multicollinearity